README

ECE461P Final Project - Drought Predictor

• You will have to download the three zip files of data from here: https://www.kaggle.com/datasets/cdminix/us-drought-meteorological-data
• After you've downloaded the data, unzip the files and place them in the "data" folder. It should be 3 CSV files. They will be very large. Run the data_converter.py script, and it will remove the non-scored rows (it will only retain weekly measurements). The data_weekly_averaging.ipynb script will average the original Kaggle data to weekly data instead of dropping them. Make sure to run both of these files.
• Our models are in a notebook titled "regression_experiments2.ipynb" under the models folder. That notebook contains all of our final models as well as our data preprocessing based off of the weekly measurements (non-averaged). The same notebook using the averaged data is titled "regression_experiments2_final_with_weekly_avg.ipynb" under the same models folder.