Data analysis and modeling on California housing prices.
Extracted features, removed outliers and trained a Random Forest Regressor on the dataset. Current accuracy is 81.5%.
Plan to develop full stack web application that allows users to get price estimates on California houses.
Created a way for users to access this model on a website. Used Flask as the backend to load the model. Currently in the process of hosting the website. The link will be available here soon.