rasbt--python-machine-learning-book
wehub-resource-sync
21 行
908 B
Markdown
21 行
908 B
Markdown
Sebastian Raschka, 2015
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Python Machine Learning - Code Examples
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## Chapter 10 - Predicting Continuous Target Variables with Regression Analysis
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- Introducing a simple linear regression model
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- Exploring the Housing Dataset
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- Visualizing the important characteristics of a dataset
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- Implementing an ordinary least squares linear regression model
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- Solving regression for regression parameters with gradient descent
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- Estimating the coefficient of a regression model via scikit-learn
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- Fitting a robust regression model using RANSAC
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- Evaluating the performance of linear regression models
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- Using regularized methods for regression
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- Turning a linear regression model into a curve – polynomial regression
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- Modeling nonlinear relationships in the Housing Dataset
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- Dealing with nonlinear relationships using random forests
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- Decision tree regression
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- Random forest regression
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- Summary |