The final project for AAI 627: Data Acquisition, Modeling and Analysis: Big Data whilst pursuing a Master's in Applied Artificial Intelligence.
Methods used to build the Recommendation System:
-Matrix Factorization
-Logistic Regression
-Decision trees
-Random Forest
-Gradient boosting
-Ensemble: Bagging and Boosting -- to combine results of all previous methods
Improvements to be implemented:
-using neighborhood methods
-using deep learning
-combining more results to create a more accurate Ensemble method
New to recommendation systems ?
Ranked 5/16 -- Kaggle in-class Competition
LeaderBoard: https://www.kaggle.com/c/2021fall-ee627/leaderboard - Team: LM_10 -