Predicting future COVID-19 hospitalizations based on past hospitalization rates. This was my final project for CS 4780, Intro to Machine Learning.
There are 2 parts to this project
- Predicting whether Covid-19 Hospitalizations will increase the next day. (Baseline required)
- Predicting the number of Covid-19 Hospitalizations the next day. (Competition)
Models used for the 2 parts:
- Neural Networks, Decision Trees + AdaBoost (Accuracy: 0.75699)
- Neural Networks (Mean squared error: 91809)
We passed the baseline score on the first task and secured 8th place on the Kaggle leaderboard for the competition task.
Engineering a time-weighted average feature and neural network hyperparameter tuning allowed us to secure a good rank on the leaderboard.