In doing this project I used:
- Resources from the Udacity course Intro to Machine Learning:
https://www.udacity.com/course/intro-to-machine-learning--ud120
https://github.com/udacity/ud120-projects
- Resources from sklearn, such as:
http://scikit-learn.org/stable/modules/feature_selection.html#rfe
http://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection
- Blog posts:
https://machinelearningmastery.com/feature-selection-in-python-with-scikit-learn/
- Other repos from students (for reference and inspiration):
https://github.com/tybyers/Udacity_IntroMachineLearning
(I liked how Tyler organized his Repo and put his thoughts into the Workflow file. I used his structure to inspire this repo).
https://github.com/sebasibarguen/udacity-nanodegree-machinelearning