Sebastian Raschka, 2015
Python Machine Learning - Code Examples
- Introducing a simple linear regression model
- Exploring the Housing Dataset
- Visualizing the important characteristics of a dataset
- Implementing an ordinary least squares linear regression model
- Solving regression for regression parameters with gradient descent
- Estimating the coefficient of a regression model via scikit-learn
- Fitting a robust regression model using RANSAC
- Evaluating the performance of linear regression models
- Using regularized methods for regression
- Turning a linear regression model into a curve – polynomial regression
- Modeling nonlinear relationships in the Housing Dataset
- Dealing with nonlinear relationships using random forests
- Decision tree regression
- Random forest regression
- Summary