Machine learning in our world - Python教程

内容

• Introduction Introduction

  • Machine learning in our world

    48 秒
  • What you should know

    45 秒
  • The tools you need

    1 分钟 2 秒
  • Using the exercise files

    1 分钟 18 秒
• 1. Machine Learning 1. Machine Learning

  • What is machine learning?

    3 分钟 59 秒
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    What is not machine learning?

    6 分钟 14 秒
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    What is unsupervised learning?

    2 分钟 39 秒
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    What is supervised learning?

    4 分钟 5 秒
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    What is reinforcement learning?

    6 分钟 6 秒
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    What are the steps to machine learning?

    5 分钟 13 秒
• 2. Collecting Data for Machine Learning 2. Collecting Data for Machine Learning

  • Things to consider when collecting data

    3 分钟 48 秒
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    How to import data in Python

    5 分钟 3 秒
• 3. Understanding Data for Machine Learning 3. Understanding Data for Machine Learning

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    Describe your data

    3 分钟 33 秒
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    How to summarize data in Python

    6 分钟
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    Visualize your data

    3 分钟 42 秒
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    How to visualize data in Python

    6 分钟 23 秒
• 4. Preparing Data for Machine Learning 4. Preparing Data for Machine Learning

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    Common data quality issues

    3 分钟 42 秒
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    How to resolve missing data in Python

    7 分钟 34 秒
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    Normalizing your data

    4 分钟 39 秒
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    How to normalize data in Python

    4 分钟 38 秒
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    Sampling your data

    4 分钟 7 秒
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    How to sample data in Python

    6 分钟 35 秒
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    Reducing the dimensionality of your data

    3 分钟 24 秒
• 5. Types of Machine Learning Models 5. Types of Machine Learning Models

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    Classification vs. regression problems

    3 分钟 15 秒
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    How to build a machine learning model in Python

    5 分钟 55 秒
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    Common machine learning algorithms

    5 分钟 51 秒
• Conclusion Conclusion

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    Next steps with applied machine learning

    2 分钟 43 秒