# Courses

- [Introduction to Data Science and Machine Learning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung.md)
- [Conditions for Receiving a Certificate or ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/durchzufuehrendes-kursprojekt.md)
- [Preparation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/vorbereitung.md)
- [Week 1 - Introduction to Data Science](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/woche-1.md)
- [Week 2 - Data Import and Visualization](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/woche-2.md)
- [Week 3 - Versioning with Git and Data Preparation (Part 1)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/woche-3-r-projekte-und-versionierung-mit-git-und-github.md)
- [Week 4 - Versioning with Git and Data Preparation (Part 2)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/woche-4-datenaufbereitung-mit-tidyverse.md)
- [Week 5 - Time Series Analyses and Introduction into Machine Learning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/woche-8-zeitreihenanalysen.md)
- [Week 6 - Baseline Models and Linear Regression](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/woche-5-einfuehrung-in-das-maschinelle-lernen.md)
- [Week 7 - Overfitting and Regularization](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/woche-6-overfitting-und-regularisierung.md)
- [Week 8 - Neural Nets](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/woche-7-neuronale-netze-und-deep-learning.md)
- [Week 9 - Missing Values](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/woche-6-support-vector-maschinen.md)
- [Week 10 - Project Presentation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/einfuehrung/woche-9-projektpraesentationen.md)
- [Applied Machine Learning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow.md)
- [Requirements for a Certificate of Achievement or ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/requirements-for-a-certificate-of-achievement-or-ects.md)
- [Preparation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/preparation.md)
- [Week 1 - General Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week-1.md)
- [Week 2 - Introduction to PyTorch](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week-2.md)
- [Week 3 - Data Management and Neural Network Components](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week-3.md)
- [Week 4 - Working with Text Using Hugging Face](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week-4-convolutional-neural-networks-part-i.md)
- [Week 5 - Project Feedback Session](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week-6-project-feedback-session.md)
- [Week 6 - Hyperparameter Optimization](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week-5-convolutional-neural-networks-part-ii.md)
- [Week 7 - Working with Images using TorchVision](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week-6-natural-language-processing-part-i.md)
- [Week 8 - Efficient Training Pipelines](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week-7-natural-language-processing-part-ii.md)
- [Week9 - Project Work](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week9-project-feedback-session.md)
- [Week 10 - Transformers for NLP](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week-8-sequences-time-series-and-prediction-part-i.md)
- [Week 11 & 12 - Presentation of the Final Projects](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/machine-learning-with-tensorflow/week-11-presentation-of-the-final-projects.md)
- [Intermediate Machine Learning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning.md)
- [Hello and welcome😊](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/hello-and-welcome.md)
- [Prequisites](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/prequisites.md)
- [Week 1 - Course Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-1.md)
- [Cousera Videos](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-1/cousera-videos.md): Watch them all😊
- [Week 2 - Recap ML Basics, Intro to PyTorch](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-2.md)
- [Coursera Videos](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-2/coursera-videos.md): Watch them all😊
- [Week 3 - Intro Kaggle competition - EDA and baseline models with PyTorch](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-3.md): Learning and testing - a.k.a. don't do Bullshit Machine Learning
- [Coursera Videos](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-3/coursera-videos.md): Watch them all😊
- [Week 4 - Convolutional Neural Networks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-4.md): CNNs
- [Cousera Videos](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-4/cousera-videos.md): Watch them all😊
- [Week 5 - Recurrent Neural Networks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-5.md): RNNs
- [Cousera Videos](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-5/cousera-videos.md)
- [Week 6 - CNN and RNN Applications](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-6.md): Hands-on
- [Cousera Videos](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-6/cousera-videos.md)
- [Week 7 - Transformers & Hugging Face](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-7-transformers-and-hugging-face.md)
- [Week 8-10 - Kaggle competiton sessions](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-10.md): Kaggle Competition
- [Week 11 - Final Presentations](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-11.md): Final Session
- [From LLMs to AI Agents🤖](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/from-llms-to-ai-agents.md)
- [Hello and welcome🤖](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/from-llms-to-ai-agents/hello-and-welcome.md)
- [Week 1 - Course Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/from-llms-to-ai-agents/week-1-course-introduction.md)
- [Week2 - RAG +Introduction to frameworks(langchain & llamaindex)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/from-llms-to-ai-agents/week2-rag-+introduction-to-frameworks-langchain-and-llamaindex.md)
- [Week 3 - Prompt Engineering & Demo Chatbot](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/from-llms-to-ai-agents/week-3-prompt-engineering-and-demo-chatbot.md)
- [Week 4 - Demo Project Pitch](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/from-llms-to-ai-agents/week-4-demo-project-pitch.md)
- [Week 5 - Introduction to Agents](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/from-llms-to-ai-agents/week-5-introduction-to-agents.md)
- [Advanced Time Series Prediction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction.md): Hi everybody......it´s Kristian - your course instructor. I will guide you through the "Advanced Time Series Prediction"-course this semester.
- [Requirements for a Certificate of Achievement or ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/requirements-for-a-certificate-of-achievement-or-ects.md)
- [Projects & Frameworks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/projects.md): Here we present some potential project ideas:
- [Lecture material + YouTube](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/preparation-youtube.md)
- [References / Books](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/references-books.md): YES.....books.....you may heard about it....these things were used in former times   ;-)
- [Week 1 - Intro + Organisation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-1-intro-+-organisation.md)
- [Week 2 - SARIMA(X) + GARCH-Models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-2-forecasting-basics-with-trends-ar-+-ma-models.md)
- [Week 3 - Labour Day](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-3-covering-seasonality-from-arma-to-sarima-models.md)
- [Week 4 - State-Space models // Filtering](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-4-towards-multidimensional-settings-sarimax-+-var-models.md)
- [Week 5 - Dependence concepts: Copula // Gaussian Processes // RMT](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-5-extended-model-classes-garch-+-dcc-garch-+-garch-copula-models.md): Continue working on your semester project !!!
- [Week 6 - Extremes // Anomalies // Signatures](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-6-spectral-analysis-of-time-series.md): Continue working on your semester project !!!
- [Week 7 - Tree models: XGBoost // LightGBM // CatBoost](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-7-milestone-meeting.md): Continue working on your semester project !!!
- [Week 8 - (Deep) recurrent architectures for time series data](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-8-supervised-learning-i-trees-+-random-forests-+-boosting.md): Continue working on your semester project !!!
- [Week 9 - Transformers + TemporalFusionTransformers](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-9-supervised-learning-ii-xgboost-+-lightgbm-+-catboost.md): Finalize your presentation !!!
- [Week 10 - NBEATS(x) + NHITS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-10-neural-networks-for-sequences-rnns-+-grus-+-lstms.md): Finalize your presentation !!!
- [Week 11 - LLM for time series problems](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-11-prophet-facebook-+-deepar-deepgpvar-amazon.md): Finalize your presentation !!!
- [Week 12 - Final Presentations](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-12-transformers-+-tfts.md): Finalize your semester project !!!
- [Week 13 - Final Presentations (Back-Up)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/time-series-prediction/week-13-nbeats-s-+-nhits-x.md): Finalize your semester project !!!
- [Applied Python Programming](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s.md): Python Course in the Summer Term 2026
- [Week 0](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/week-0.md)
- [Week 1](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/week-1.md)
- [Week 2](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/week-2.md)
- [Week 3](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/week-3.md)
- [Week 4](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/week-4.md)
- [Week 5](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/week-5.md)
- [Week 6](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/week-6.md)
- [Week 7](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/week-7.md)
- [Setup Instructions for Jupyter Notebook Support](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/jupyter-notebook.md)
- [Final Project](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/final-project.md)
- [Resources](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/resources.md)
- [Harvard Course](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/resources/harvard-course.md): Advanced Material with Additional Assignments (Totally Optional)
- [Worklabs](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/python-26s/resources/worklabs.md)
- [Introduction to Deep Reinforcement Learning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/introduction-to-deep-reinforcement-learning.md)
- [Requirements for a Certificate of Achievement or ECTS 1](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/introduction-to-deep-reinforcement-learning/requirements-for-a-certificate-of-achievement-or-ects.md)
- [Project](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/introduction-to-deep-reinforcement-learning/project.md)
- [Week 1 - Introduction to Reinforcement Learning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/introduction-to-deep-reinforcement-learning/week-1-introduction-to-reinforcement-learning.md)
- [Week 2 - Q-Learning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/introduction-to-deep-reinforcement-learning/week-2-q-learning.md)
- [Archive](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive.md)
- [Fine-Tuning and Deployment of Large Language Models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models.md)
- [Requirements for a Certificate of Achievement or ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models/requirements-for-a-certificate-of-achievement-or-ects.md)
- [Preparation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models/preparation.md)
- [Week 1 - General Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models/week-1-general-introduction.md)
- [Week 2 - Project Definition and Introduction to Fine-Tuning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models/week-1-general-introduction-1.md)
- [Week 3 - Fine-Tuning Characteristics](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models/week-3-fine-tuning-characteristics.md)
- [Week 4 - Model Evaluation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models/week-4-model-evaluation.md)
- [Week 8 - Tokenization for Instruction Tuning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models/week-8-tokenization-for-instruction-tuning.md)
- [Week 9 - Efficient Inference](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models/week-9-efficient-inference.md)
- [Week 10 - Project Presentations](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models/week-10-project-presentations.md)
- [Deep Learning from Scratch](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning.md): Opencampus Course about Deep Learning based on various Coursera Courses
- [Requirements for a Certificate of Achievement or ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/requirements-for-a-certificate-of-achievement-or-ects.md)
- [Preparation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/preparation.md)
- [Week 1 - General Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-1.md): A general introduction about the course structure and the participants
- [Week 2 - Introduction to Deep Learning and Neural Network Basics](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-2.md)
- [Week 3 - Shallow Neural Networks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-4-shallow-neural-networks.md)
- [Week 4 - Deep Neural Networks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-5-deep-neural-networks.md)
- [Week 5 - Practical Aspects of Deep Learning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-6-practical-aspects-of-deep-learning.md)
- [Week 6 - Optimization Algorithms](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-7-optimization-algorithms.md)
- [Week 7 - Hyperparameter Tuning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-8-hyperparameter-tuning.md)
- [Week 8 - Machine Learning Strategy 1 & 2](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-9-machine-learning-strategy-1.md)
- [Week 9 - Neural Networks Architecture | Project Checkpoint](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-9-neural-networks-architecture-or-project-checkpoint.md)
- [Week 10 - Bonus: most voted topic](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-10-bonus-most-voted-topic.md)
- [Week 11 - Presentation of Final Projects, Part I](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-11-presentation-of-final-projects.md)
- [Week 12 - Presentation of Final Projects, Part II](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-12-presentation-of-final-projects-part-ii.md)
- [Deep Learning for Computer Vision](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision.md): Opencampus Course about Deep Learning based on various Coursera Courses
- [Requirements for a Certificate of Achievement or ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/requirements-for-a-certificate-of-achievement-or-ects.md)
- [Preparation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/preparation.md)
- [Week 1 - General Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-1-general-introduction.md)
- [Week 2 - Foundations of Convolutional Neural Networks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-2-foundations-of-convolutional-neural-networks.md)
- [Week 3 - Convolution Model Application](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-3-deep-convolutional-models-case-studies.md)
- [Week 4 - Residual Networks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-4-object-detection-with-cnn.md)
- [Week 5 - Transfer Learning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-5-special-applications-face-recognition-and-neural-style-transfer.md)
- [Week 6 - Detection Algorithms](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-6-project-check-point-discussion.md)
- [Week 7 - Project Checkpoint | Image Segmentation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-7-recurrent-neural-networks.md)
- [Week 8 - Face Recognition](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-8-natural-language-processing-and-word-embeddings.md)
- [Week 9 - Art Generation with Neural Style Transfer](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-9-sequence-models-and-attention-mechanism.md)
- [Week 10 - CNN Bonus](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-10-final-presentation-of-the-projects-part-i.md)
- [Week 11 - Final Presentation of the Projects](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning-for-computer-vision/week-11-final-presentation-of-the-projects-part-ii.md)
- [Application of Transformer Models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models-1.md)
- [Requirements for a Certificate of Achievement or ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models-1/requirements-for-a-certificate-of-achievement-or-ects.md)
- [Week 1 - General Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models-1/week-1-general-introduction.md)
- [Week 2 - Self-Attention and Prompt Design](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models-1/week-2-self-attention-and-prompt-design.md)
- [Week 3 - Introduction to Transformer Models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models-1/week-3-introduction-to-transformer-models.md)
- [Week 4 - Fine-Tuning Pretrained Models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models-1/week-4-fine-tuning-pretrained-models.md)
- [Week 5 - The Datasets Library](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models-1/week-5-the-datasets-library.md)
- [Week 6 - The Tokenizers Library](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models-1/week-6-the-tokenizers-library.md)
- [Week 7 - Main NLP Tasks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models-1/week-7-main-nlp-tasks.md)
- [Week 8 - Presentation of the Final Projects](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/application-of-transformer-models-1/week-8-presentation-of-the-final-projects.md)
- [Generative Adversarial Networks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan.md)
- [Requirements for a Certificate of Achievement or ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/requirements-for-a-certificate-of-achievement-or-ects.md)
- [Preparation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/preparation.md)
- [Motivation - Things you can do with NLP](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/motivation-things-you-can-do-with-nlp.md)
- [Week 1 - General Introduction to the course](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-1.md)
- [Week 2 - Sentiment Analysis with Logistic Regression](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-1-1.md)
- [Week 3 - Sentiment Analysis with Naïve Bayes](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-2.md)
- [Week 4 - Vector Space Models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-4.md)
- [Week 5 - Machine Translation and Document Search](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-5-machine-translation-and-document-search.md)
- [Week 6 - Autocorrect](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-5-autocorrect.md)
- [Week 7 - Part of Speech Tagging and Hidden Markov Models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-7-part-of-speech-tagging-and-hidden-markov-models.md)
- [Week 8 - Autocomplete and Language Models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-8-autocomplete-and-language-models.md)
- [Week 9 - Word embeddings with neural networks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-9-word-embeddings-with-neural-networks.md)
- [Week 10 - Final Projects](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-10-final-projects.md)
- [Lehren und Lernen mit KI](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/lehren-und-lernen-mit-ki.md)
- [Woche 1 - Einführung](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/lehren-und-lernen-mit-ki/woche-1-einfuehrung.md)
- [Woche 2 - Anwendungsbeispiele #twlz](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/lehren-und-lernen-mit-ki/woche-2-anwendungsbeispiele-twlz.md)
- [Woche 3 - KI-Tools für den Bildungsbereich](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/lehren-und-lernen-mit-ki/woche-3-ki-tools-fuer-den-bildungsbereich.md)
- [Woche 4 - Nicht-technische Einführung in die KI](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/lehren-und-lernen-mit-ki/woche-4-nicht-technische-einfuehrung-in-die-ki.md)
- [Woche 5 - Kreatives Schreiben](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/lehren-und-lernen-mit-ki/woche-5-kreatives-schreiben.md)
- [Woche 6 - Automatische Klassifizierung von Textantworten](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/lehren-und-lernen-mit-ki/woche-6-automatische-klassifizierung-von-textantworten.md)
- [Woche 7 - IQSH Handreichung zu CHatGPT](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/lehren-und-lernen-mit-ki/woche-7-iqsh-handreichung-zu-chatgpt.md)
- [Woche 8 - Veränderungen in benötigten Kompetenzen](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/lehren-und-lernen-mit-ki/woche-8-veraenderungen-in-benoetigten-kompetenzen.md)
- [Woche 9 - Präsentation Abschlussprojekte](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/lehren-und-lernen-mit-ki/woche-9-praesentation-abschlussprojekte.md)
- [Reinforcement Learning](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/reinforcement-learning.md)
- [Machine Learning Operations (MLOps)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-operations-mlops.md)
- [19-04-2023 - General Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-operations-mlops/19-04-2023-general-introduction.md)
- [26-04-2023 ML Lifecycle Overview and Model Selection](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-operations-mlops/26-04-2023-ml-lifecycle-overview-and-model-selection.md)
- [03-05-2023 Data Definition and Collection](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-operations-mlops/03-05-2023-data-definition-and-collection.md)
- [10-05-2023 From Feature Engineering to Data Storage](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-operations-mlops/10-05-2023-from-feature-engineering-to-data-storage.md)
- [17-05-2023 Advanced Data Processing & Intro into Model Serving](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-operations-mlops/17-05-2023-advanced-data-processing-and-intro-into-model-serving.md)
- [24-05-2023 Model Infrastructure & Delivery](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-operations-mlops/24-05-2023-model-infrastructure-and-delivery.md)
- [31-05-2023 Model Monitoring](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-operations-mlops/31-05-2023-model-monitoring.md)
- [07-06-2023 Project Presentations](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-operations-mlops/07-06-2023-project-presentations.md)
- [Mathematik für maschinelles Lernen](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/mathematik-fuer-maschinelles-lernen.md)
- [TensorFlow Course: Week 10 - Special Issues Considering Your Final Projects](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/week-10-special-issues-considering-your-final-projects.md)
- [Deep Dive into LLMs](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms.md)
- [Week 1 - Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-1-introduction.md)
- [Week 2 - Tokens & Embeddings revisted](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-2-introduction-to-transformers.md)
- [Week 3 - Introduction to Transformers](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-3-token-and-embeddings-revisited.md)
- [Week 4 - Prompt Engineering](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-4-prompt-engineering.md)
- [Chain of Thought](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-4-prompt-engineering/chain-of-thought.md)
- [TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-4-prompt-engineering/framework-of-prompting-of-complex-tasks.md)
- [More techniques](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-4-prompt-engineering/more-techniques.md)
- [Week 5 - RAG and Agents](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-5-agents.md)
- [Week 6 - Model Evaluation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-6-model-evaluation.md)
- [Week 7 - Fine-Tuning I](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-7-fine-tuning-i.md)
- [Week 8 - Fine-Tuning II and Model Inference](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-8-fine-tuning-ii.md)
- [Week 9 - Advisory Session](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-9-advisory-session.md)
- [Week 10 - Project Presentations](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-10-project-presentations.md)
- [Intermediate Machine Learning (Legacy SS2023)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy.md)
- [Hello and welcome😊](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/hello-and-welcome.md)
- [Prequisites](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/prequisites.md)
- [Week 1 - Course Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-1.md)
- [Week 2 - Recap ML Basics, Intro to PyTorch](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-2.md)
- [Week 3 - Intro Kaggle competition - EDA and baseline models with PyTorch](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-3.md): Learning and testing - a.k.a. don't do Bullshit Machine Learning
- [Week 4 - Convolutional Neural Networks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-4.md): CNNs
- [Week 5 - Recurrent Neural Networks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-5.md): RNNs
- [Week 6 - CNN and RNN Applications](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-6.md): Hands-on
- [Week 7 - Transformers Part 1](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-7.md): Understanding the Transformer
- [Week 8 - Transformers Part 2](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-8.md): Hugging Face
- [Week 9 - Vision Transformers](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-9.md): Apply Transformer to Vision
- [Week 10-12 - Projects sessions](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-10.md): Kaggle Competition
- [Week 13 - Project Presentations](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-11.md): Final Session
- [Week 14+](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/intermediate-machine-learning-legacy/week-14+.md): Go on with Kaggle Competition
- [Practical Engineering with LLMs](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms.md)
- [Week 1- General Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms/week-1-general-introduction.md)
- [Week 2 - Prompt Engineering](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms/week-2-prompt-engineering.md)
- [Week 3 - Introduction to LangChain](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms/week-3-introduction-to-langchain.md)
- [Week 4 - Introduction to Retrieval Augmented Generation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms/week-4-introduction-to-retrieval-augmented-generation.md)
- [Week 5 - Advanced Retrieval Augmented Generation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms/week-5-advanced-retrieval-augmented-generation.md)
- [Week 6 - Building User Interfaces with Gradio](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms/week-6-building-user-interfaces-with-gradio.md)
- [Week 7 - Evaluation of LLM outputs and structured outputs](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms/week-7-evaluation-of-llm-outputs-and-structured-outputs.md)
- [Week 8 - Open-Source LLMs](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms/week-8-open-source-llms.md)
- [Week 9 - Project Presentations](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/practical-engineering-with-llms/week-9-project-presentations.md)
- [Python: From Beginner to Practictioner (Legacy WS2023)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner.md)
- [Course Info](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/course-info.md)
- [Week 1](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/week-1.md)
- [Week 2](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/week-2.md)
- [Week 3](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/week-3.md)
- [Week 4](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/week-4.md)
- [Week 5](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/week-5.md)
- [Week 6](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/week-6.md)
- [Week 7](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/week-7.md)
- [Week 8](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/week-8.md)
- [Week 9](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/week-9.md)
- [Solutions & Materials](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practictioner/solutions-and-materials.md)
- [Machine Learning für die Medizin](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-fuer-die-medizin.md)
- [Bedingungen für ein Leistungszertifikat oder ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-fuer-die-medizin/bedingungen-fuer-ein-leistungszertifikat-oder-ects.md)
- [Vorbereitung](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-fuer-die-medizin/vorbereitung.md)
- [Time Series Prediction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction.md): Hi everybody......it´s Benjamin, Kristian and Yannick. We will give the Time Series Prediction course this semester and we are happy to welcome all participants.
- [Requirements for a Certificate of Achievement or ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/requirements-for-a-certificate-of-achievement-or-ects.md)
- [Projects & Frameworks](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/projects.md): Here we present some potential project ideas:
- [Preparation / YouTube](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/preparation-youtube.md)
- [References / Books](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/references-books.md): YES.....books.....you may heard about it....these things were used in former times   ;-)
- [Week 1 - Intro + Organisation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-1-intro-+-organisation.md): Watch the first YouTube-Tutorial.
- [Week 2 - Forecasting basics with trends: AR + MA-models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-2-forecasting-basics-with-trends-ar-+-ma-models.md): Watch the second playlist which was recommended. Try to answer/prepare the homework problems.
- [Week 3 - Covering seasonality: From ARMA to SARIMA-models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-3-covering-seasonality-from-arma-to-sarima-models.md): Watch the third playlist which was recommended. Try to answer/prepare the homework problems.
- [Week 4 - Towards multidimensional settings: SARIMAX + VAR-models](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-4-towards-multidimensional-settings-sarimax-+-var-models.md): Watch the fourth playlist which was recommended. Try to answer/prepare the homework problems.
- [Week 5 - Non-Stationary model classes: GARCH + DCC-GARCH](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-5-extended-model-classes-garch-+-dcc-garch-+-garch-copula-models.md): Watch the GARCH playlist which was recommended. Try to answer/prepare the homework problems.
- [Week 6 - Copula Methods](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-6-spectral-analysis-of-time-series.md): Watch the copula playlist which was recommended. Try to answer/prepare the homework problems.
- [Week 7 - Milestone Meeting + Spectral Analysis of Time Series + Kalman-Filtering](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-7-milestone-meeting.md): Today is your day !!!
- [Week 8 - Supervised Learning I: Trees + Random Forests + Boosting](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-8-supervised-learning-i-trees-+-random-forests-+-boosting.md): Watch the Trees, RF, Boosting playlist which was recommended. Try to answer/prepare the homework problems.
- [Week 9 - Supervised Learning II: XGBoost + LightGBM + CatBoost](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-9-supervised-learning-ii-xgboost-+-lightgbm-+-catboost.md): Watch the XGBoosting, CatBoost, LightGBM playlist which was recommended. Try to answer/prepare the homework problems.
- [Week 10 - Neural Networks for Sequences: RNNs + GRUs + LSTMs + LMUs](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-10-neural-networks-for-sequences-rnns-+-grus-+-lstms.md): Watch the RNNs, LSTMs playlist which was recommended. Try to answer/prepare the homework problems.
- [Week 11 - Prophet(Facebook) + DeepAR(Amazon) + GPVAR](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-11-prophet-facebook-+-deepar-deepgpvar-amazon.md): Try out the Prophet/DeepAR tutorials which was recommended. Try to answer/prepare the homework problems.
- [Week 12 - Transformers + TFTs](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-12-transformers-+-tfts.md): Watch the Transformer playlist which was recommended. Try to answer/prepare the homework problems.
- [Week 13 - NBEATS(s) + NHITS(x)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-13-nbeats-s-+-nhits-x.md): As this a quite need topic/field......input is still to come...
- [Week 14 - Final Presentation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/time-series-prediction/week-14-final-presentation.md): Present your project
- [Python: From Beginner to Practitioner (Legacy 2024S)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner.md)
- [Course Info](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/course-info.md)
- [Week 1](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-1.md)
- [Week 2](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-2.md)
- [Week 3](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-3.md)
- [Week 4](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-4.md)
- [Week 5](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-5.md)
- [Week 6](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-6.md)
- [Week 7](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-7.md)
- [Week 8](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-8.md)
- [Week 9](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-9.md)
- [Week 10](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-10.md)
- [Week 11](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-11.md)
- [Week 12](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/week-12.md)
- [Material](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner/material.md)
- [Einführung in Data Science und maschinelles Lernen](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung.md)
- [Bedingungen für ein Leistungszertifikat oder ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/durchzufuehrendes-kursprojekt.md)
- [Vorbereitung](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/vorbereitung.md)
- [Woche 1 - Einführung in Data Science](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/woche-1.md)
- [Woche 2 - Import und Visualisierung von Daten](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/woche-2.md)
- [Woche 3 - Versionierung mit git (Teil 1) und Datenaufbereitung](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/woche-3-r-projekte-und-versionierung-mit-git-und-github.md)
- [Woche 4 - Versionierung mit git (Teil 2) und aktuelle Entwicklungen im Bereich ML](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/woche-4-datenaufbereitung-mit-tidyverse.md)
- [Woche 5 - Einführung in das maschinelle Lernen](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/woche-5-einfuehrung-in-das-maschinelle-lernen.md)
- [Woche 6 - Overfitting und Regularisierung](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/woche-6-overfitting-und-regularisierung.md)
- [Woche 7 - Neuronale Netze](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/woche-7-neuronale-netze-und-deep-learning.md)
- [Woche 8 - Fehlende Werte](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/woche-6-support-vector-maschinen.md)
- [Woche 9 - Zeitreihenanalysen](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/woche-8-zeitreihenanalysen.md)
- [Woche 10 - Projektpräsentationen](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/einfuehrung/woche-9-projektpraesentationen.md)
- [Python: From Beginner to Practitioner (Legacy 2024W)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w.md)
- [Course Info](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/course-info.md)
- [Week 1](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-1.md)
- [Week 2](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-2.md)
- [Week 3](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-3.md)
- [Week 4](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-4.md)
- [Week 5](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-5.md)
- [Week 6](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-6.md)
- [Week 7](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-7.md)
- [Week 8](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-8.md)
- [Week 9](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-9.md)
- [Week 10](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-10.md)
- [Week 11](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/week-11.md)
- [Final Project](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/final-project.md)
- [Resources](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-from-beginner-to-practitioner-24w/resources.md)
- [Python: Beginner to Practitioner (Legacy 2025S)](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s.md): Python Course in the Summer Term 2025
- [Week 1](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-1.md)
- [Week 2](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-2.md)
- [Week 3](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-3.md)
- [Week 4](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-4.md)
- [Week 5](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-5.md)
- [Week 6](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-6.md)
- [Week 7](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-7.md)
- [Week 8](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-8.md)
- [Week 9](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-9.md)
- [Week 10](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-10.md)
- [Week 11](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/week-11.md)
- [Setup Instructions for Jupyter Notebook Support](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/jupyter-notebook.md)
- [Final Project](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/final-project.md)
- [Resources](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/resources.md)
- [Worklabs](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/resources/worklabs.md)
- [Solutions](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/resources/solutions.md)
- [Harvard Course](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/python-25s/resources/harvard-course.md): Advanced Material with Additional Assignments (Totally Optional)
- [Machine Learning with TensorFlow](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow.md)
- [Requirements for a Certificate of Achievement or ECTS](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/requirements-for-a-certificate-of-achievement-or-ects.md)
- [Preparation](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/preparation.md)
- [Week 1 - General Introduction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week-1.md)
- [Week 2 - Introduction to TensorFlow,Part I](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week-2.md)
- [Week 3 - Introduction to TensorFlow,Part II](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week-3.md)
- [Week 4 - Convolutional Neural Networks, Part I](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week-4-convolutional-neural-networks-part-i.md)
- [Week 5 - Convolutional Neural Networks, Part II](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week-5-convolutional-neural-networks-part-ii.md)
- [Week 6 - Project Feedback Session](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week-6-project-feedback-session.md)
- [Week 7 - Natural Language Processing, Part I](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week-6-natural-language-processing-part-i.md)
- [Week 8 - Natural Language Processing, Part II](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week-7-natural-language-processing-part-ii.md)
- [Week9 - Project Feedback Session](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week9-project-feedback-session.md)
- [Week 10 - Sequences, Time Series and Prediction](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week-8-sequences-time-series-and-prediction-part-i.md)
- [Week 11 & 12 - Presentation of the Final Projects](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-with-tensorflow/week-11-presentation-of-the-final-projects.md)


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