This is a simple desktop application that gives an estimated price of a house in Bangalore based upon location, size, BHK, etc.
It uses Linear Regression as the main machine learning algorithm for estimating the house price and use Qt Framework for GUI. The Machine Learning model has an accuracy about 85.495%.
Dataset: https://www.kaggle.com/amitabhajoy/bengaluru-house-price-data
Modules used:
- PyQt5
- pandas, numpy, matplotlib, sklearn
- json
The Graphical Userinterface
