This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.
The Jupiter notebooks describe how to do:
- Loading and cleaning data
- Build several models
- Pick the best model based on K-Fold cross validation.
- Run the model against the testing dataset.
- Finally, conclusions and future directions.