This folder contains the python code used to predict the prices of house with various models: Gradient Boosting Regressor(GBR), XGBoost(XGB), Random Forest(RF), K-Nearest Neighbour(KNN), AdaBoost(ADA), and Lasso. This project was completed in 2 phases. Checkpoint1.py was first phase and final_project.py is the complete project.
Contains documentation and findings. All the above mentioned models are compared and the most accurate model was selected.
Contains the images and screenshots that were used during the documentation.