Put model development pipeline in a .py file. Rewrote README. Made a config folder to store hyperparameter space searches. Co-authored with Chris and Csenge. Several TODOs in the README.

working on model development (xgboost and decision tree)

added extra materials and update README

added train-test split, added saving mechanisms after the split, removed the normalizer class, added main.py

creating a pipeline

adding more files that should have been in the last commit

lagged dataset file, training test

rename files for consistency

feature engineering and exploratory data analysis

add merged data

add additional data for utrecht

move sorted data to /processed

add sorted data file

update gitignore and add raw data

Revert "added test data"

added test data