目录
2
教师讲解
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2.101.Intro
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2.202.Regression Intro
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2.303.Regression Features and Labels
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2.404.Regression Training and Testing
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2.505.Regression forecasting and predicting
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2.606.Pickling and Scaling
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2.707.Regression How it Works
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2.808.How to program the Best Fit Slope
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2.909.How to program the Best Fit Line
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2.1010.R Squared Theory
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2.1111.Programming R Squared
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2.1212.Testing Assumptions
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2.1313.Classification w_ K Nearest Neighbors Intro
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2.1414.K Nearest Neighbors Application
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2.1515.Euclidean Distance
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2.1616.Creating Our K Nearest Neighbors Algorithm
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2.1717.Writing our own K Nearest Neighbors in Code
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2.1818.Applying our K Nearest Neighbors Algorithm
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2.1919.Final thoughts on K Nearest Neighbors
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2.2020.Support Vector Machine Intro and Application
公开课：利用python进行机器学习
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