A notebook covering the following different types of regression techniques to predict Boston House prices.
- Linear regression
- Multiple Linear regression
- Decision Tree Learning
- Random Forest Learning
- Gradient Boosted regression
This notebook was made for my personal use and if you are interested in learning these topics I would recommend reading the articles I have included in the notebook as they explain the concepts used in much more detail.
To view this notebook on Github click the 'notebook.ipynb' above
If you would prefer to download this notebook to edit it please use the following command in the console
git clone https://github.com/jcarpenter12/Regression-Analysis-Using-Python.git