opencampus.sh Machine Learning Program
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  • opencampus.sh Machine Learning Program
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  • Courses
    • Introduction to Data Science and Machine Learningchevron-right
    • Machine Learning with TensorFlowchevron-right
    • Intermediate Machine Learningchevron-right
    • From LLMs to AI Agents🤖chevron-right
    • Advanced Time Series Predictionchevron-right
    • Python: Beginner to Practitionerchevron-right
    • Fine-Tuning and Deployment of Large Language Modelschevron-right
    • Archivechevron-right
      • Deep Learning from Scratchchevron-right
      • Deep Learning for Computer Visionchevron-right
      • Application of Transformer Modelschevron-right
      • Generative Adversarial Networkschevron-right
      • Lehren und Lernen mit KIchevron-right
      • Reinforcement Learning
      • Machine Learning Operations (MLOps)chevron-right
      • Mathematik für maschinelles Lernen
      • TensorFlow Course: Week 10 - Special Issues Considering Your Final Projects
      • Deep Dive into LLMschevron-right
      • Intermediate Machine Learning (Legacy SS2023)chevron-right
      • Practical Engineering with LLMschevron-right
      • Python: From Beginner to Practictioner (Legacy WS2023)chevron-right
        • Course Info
        • Week 1
        • Week 2
        • Week 3
        • Week 4
        • Week 5
        • Week 6
        • Week 7
        • Week 8
        • Week 9
        • Solutions & Materials
      • Machine Learning für die Medizinchevron-right
      • Time Series Predictionchevron-right
      • Python: From Beginner to Practitioner (Legacy 2024S)chevron-right
      • Einführung in Data Science und maschinelles Lernenchevron-right
      • Python: From Beginner to Practitioner (Legacy 2024W)chevron-right
  • 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. Courseschevron-right
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  3. Python: From Beginner to Practictioner (Legacy WS2023)

Solutions & Materials

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Solution week 1

  • https://colab.research.google.com/drive/1Qn7ZT-_yr1-PmcsetIZCljvwHb0PmOuc?usp=sharingarrow-up-right

  • https://colab.research.google.com/drive/1xl1mkRB31zBLQhE3DtuVZObZfssDA_ak?usp=sharingarrow-up-right

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Solution week 2

  • https://colab.research.google.com/drive/1I72DNw-LS3BJO_NbkqYyqFZcUsLdFTh_?usp=sharingarrow-up-right

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Solution week 3

  • https://colab.research.google.com/drive/1qTtuAqND6Z-OP7rkr4hOWKqWzgf3rAHN?usp=sharingarrow-up-right

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Solution week 4

  • https://colab.research.google.com/drive/1z9xqzcOV5FLoQl4PhNzZSIZJDkd7JgFC?usp=sharingarrow-up-right

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Solution week 5

  • https://colab.research.google.com/drive/1swsc4earaul7lo00q1KL1FlH6MLPZ8lG?usp=sharingarrow-up-right

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Solution week 6

  • https://colab.research.google.com/drive/1CwmTFMU36ZlOfd3OuYKN5QKfqZ6pLRDK?usp=sharingarrow-up-right

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Solution week 8

  • https://colab.research.google.com/drive/1_XPcB6K3Rn65GwRcUTulsdtwAhKIlp9U?usp=sharingarrow-up-right

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Extra Class Materials

  • Loops: https://colab.research.google.com/drive/1E5dGWDsZNJte88n1SV97HP3CFcq5Amny?usp=sharingarrow-up-right

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Last updated 1 year ago

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