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+Sebastian Raschka, 2015
+
+Python Machine Learning - Code Examples
+
+## Chapter 10 - Predicting Continuous Target Variables with Regression Analysis
+
+- 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