opencampus.sh Machine Learning Program
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  • opencampus.sh Machine Learning Program
  • Course Kick-Off
  • How do I choose a course?
  • FAQ
  • Courses
    • Introduction to Data Science and Machine Learning
      • Conditions for Receiving a Certificate or ECTS
      • Preparation
      • Week 1 - Introduction to Data Science
      • Week 2 - Import and Visualization of Data
      • Week 3 - Versioning with Git (Part 1) and data preparation
      • Week 4 - Versioning with Git (Part 2) and Current Developments in ML
      • Week 5 - Introduction to Machine Learning and Linear Regression
      • Week 6 - Overfitting and Regularization
      • Week 7 - Neural Nets
      • Week 8 - Missing Values
      • Week 9 - Time Series Analyses
      • Week 10 - Project Presentation
    • Machine Learning with TensorFlow
    • Intermediate Machine Learning
    • From LLMs to AI Agents🤖
    • Advanced Time Series Prediction
    • Python: Beginner to Practitioner
    • Fine-Tuning and Deployment of Large Language Models
    • Archive
  • Events
    • Coding.Waterkant 2023
    • Prototyping Week
  • Course Projects
    • Choosing a Project
    • How to Start, Complete, and Submit Your Project
  • Additional Resourses
    • Glossary
    • Coursera
    • Selecting the Optimizer
    • Choosing the Learning Rate
    • Learning Linear Algebra
    • Learning Python
    • Support Vector Machines
    • ML Statistics
  • Tools
    • Git
    • RStudio
    • Google Colab
    • Zoom
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  1. Courses

Introduction to Data Science and Machine Learning

Conditions for Receiving a Certificate or ECTSPreparationWeek 1 - Introduction to Data ScienceWeek 2 - Import and Visualization of DataWeek 3 - Versioning with Git (Part 1) and data preparationWeek 4 - Versioning with Git (Part 2) and Current Developments in MLWeek 5 - Introduction to Machine Learning and Linear RegressionWeek 6 - Overfitting and RegularizationWeek 7 - Neural NetsWeek 8 - Missing ValuesWeek 9 - Time Series AnalysesWeek 10 - Project Presentation
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Last updated 5 years ago

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