opencampus.sh Machine Learning Program
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opencampus.sh Machine Learning Program
  • opencampus.sh Machine Learning Program
  • Course Kick-Off
  • How do I choose a course?
  • FAQ
  • Courses
    • Introduction to Data Science and Machine Learning
    • Machine Learning with TensorFlow
    • Intermediate Machine Learning
    • From LLMs to AI Agents🤖
    • Advanced Time Series Prediction
    • Applied Python Programming
    • Fine-Tuning and Deployment of Large Language Models
    • Archive
      • Deep Learning from Scratch
      • Deep Learning for Computer Vision
      • Application of Transformer Models
      • Generative Adversarial Networks
      • Lehren und Lernen mit KI
      • Reinforcement Learning
      • Machine Learning Operations (MLOps)
      • Mathematik für maschinelles Lernen
      • TensorFlow Course: Week 10 - Special Issues Considering Your Final Projects
      • Deep Dive into LLMs
      • Intermediate Machine Learning (Legacy SS2023)
      • Practical Engineering with LLMs
      • Python: From Beginner to Practictioner (Legacy WS2023)
      • Machine Learning für die Medizin
      • Time Series Prediction
      • Python: From Beginner to Practitioner (Legacy 2024S)
      • Einführung in Data Science und maschinelles Lernen
      • Python: From Beginner to Practitioner (Legacy 2024W)
      • Python: Beginner to Practitioner (Legacy 2025S)
        • Week 1
        • Week 2
        • Week 3
        • Week 4
        • Week 5
        • Week 6
        • Week 7
        • Week 8
        • Week 9
        • Week 10
        • Week 11
        • Setup Instructions for Jupyter Notebook Support
        • Final Project
        • Resources
          • Worklabs
          • Solutions
          • Harvard Course
  • 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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  4. Resources

Worklabs

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Week 1 (Variables):

  • https://colab.research.google.com/drive/1L0JOZpw0hyUyL1wsukfDEYnrLbtrzMXvarrow-up-right

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Week 2 (Data Types):

  • https://colab.research.google.com/drive/19e0d1XQPl_N-usKunopxeCHWzBH55Mcearrow-up-right

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Week 3 (For-Loops):

  • https://colab.research.google.com/drive/1N42O0Zouic_4hm6gk0xjiHYVJQIXUQfJarrow-up-right

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Week 4 (Functions):

  • https://colab.research.google.com/drive/1jgP4itfOltBBAWitdJWJrTUzbs4pTQYMarrow-up-right

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Week 5 (Dicts):

  • https://colab.research.google.com/drive/1jSkCSrWFnYqITuYH4g-byJGqjRO9AIQ3arrow-up-right

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Week 8/9 (OOP):

  • https://colab.research.google.com/drive/1gahgfS0EzxWU-07bQAHWAWGGlMfW3CPYarrow-up-right

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Week 10 (JSON):

  • https://colab.research.google.com/drive/16v-Nj90ANfjbEXCzaddw8eMXZBuYjVONarrow-up-right

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Last updated 8 months ago

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  • Week 1 (Variables):
  • Week 2 (Data Types):
  • Week 3 (For-Loops):
  • Week 4 (Functions):
  • Week 5 (Dicts):
  • Week 8/9 (OOP):
  • Week 10 (JSON):

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