Add extra scripts. Format code. \n Add .vs to .gitignore

Convert parameter space into a range rather than a grid.

Experiments track train and test MSE and RMSE correctly \n Code refactoring

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.

Set up MLFlow. Automatic server setup at localhost 5000. Experiments for decision tree, random forest, and xgboost set up, optimized through Bayesian search.

working on model development (xgboost and decision tree)

Co-authored-by: SzokeCsenge <SzokeCsenge@users.noreply.github.com>

creating a pipeline

adding more files that should have been in the last commit

code clean irrelevant

lagged dataset file, training test

lagging and removing empty values

feature engineering

rename files for consistency

rename files for consistency

feature engineering and exploratory data analysis

feature engineering and exploratory data analysis

save data merge notebook

data merge notebook and pipeline

Raw 03 and No2 data added

CCDS defaults