This is a data science project to build a real estate price prediction website. Here I first build a model using sklearn and linear regression using banglore home prices dataset from kaggle.com. Then write a python flask server that uses the saved model to serve http requests. Third component is the website built in html, css and javascript that allows user to enter home square ft area, bedrooms etc and it will call python flask server to retrieve the predicted price
- Python
- Numpy and Pandas for data cleaning
- Matplotlib for data visualization
- Sklearn for model building
- Jupyter notebook, visual studio code and pycharm as IDE
- Python flask for http server
- HTML/CSS/Javascript for UI