EE 381K - Applied Machine Learning Project
Contributors: Fadeel Sher Khan, Powell Lowe, Lakshya Jagadish, Asvin Venkataramanan
Please see report for our experiments and results.
- EDA.ipynb has code for exploratory data analysis.
- LinearReg_SVR_XGBoost_SHAP.ipynb has code for the Linear Regression, SVR, XGBoost, XGBoost (PCA) models described in the report. Code for SHAP plots is also included.
- LSTM_SHAP.ipynb has code for the LSTM and LSTM (PCA) models described in the report. Code for SHAP plots is also included.
- RandomForest.ipynb has code for the Random Forest and Random Forest (PCA) models described in the report.
- Report.pdf has the ICML style report submitted for this project.
- Slides.pdf and Slides.pptx are the slides the team presented in class.