# Archive - [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) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.