DOC Basic description of all the scripts

Author: luispedro

ch07/README.rst

@@ -0,0 +1,41 @@
+=========
+Chapter 7
+=========
+
+Support code for *Chapter 7: Regression* 
+
+
+Boston data analysis
+--------------------
+
+This dataset is shipped with sklearn. Thus, no extra download is required.
+
+
+boston1.py
+    Fit a linear regression model to the Boston house price data
+boston1numpy.py
+    Version of above script using numpy operations for linear regression
+boston_cv_penalized.py
+    Test different penalized regression schemes on the Boston dataset
+cv10_lr.py
+figure1_2.py
+    Show the regression line for Boston data
+figure3.py
+    Show the regression line for Boston data with OLS and Lasso
+figure4.py
+    Scatter plot of predicted-vs-actual for multidimensional regression
+
+10K data analysis
+-----------------
+
+lr10k.py
+    Linear regression on 10K dataset, evaluation by cross-validation
+predict10k_en.py
+
+
+MovieLens data analysis
+-----------------------
+
+In this chapter, we only consider a very simple approach, which is implemented
+in the ``usermodel.py`` script.
+