This was a ML project for the regression problem to predict the estimated price of a house. Applied pipelining, data cleaning, transformation, extraction and some ML algorithms.
- NumPy
- Pandas
- Flask
- Sklearn
Used kaggle data set of Banglore home prices. (can be found here.)
home-price-prediction/server/
./server.py
Jupyter Notebook for this project can be found here