House_Price_Prediction_Using_Django_Heroku For Kolkata & Mumbai
Project Objectives :
The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.
Data Collection :
The dataset is obtained from Kaggle.
Link: https://www.kaggle.com/ruchi798/housing-prices-in-metropolitan-areas-of-india
Modelling :
The analysis and model creation can be found in the .ipynb file.
The main packages used are numpy, pandas, matplotlib, seaborn and sklearn joblib .
Deployment :
The web app has been build using basic HTML, CSS, Javascript, Django and Herkou.
Link: https://housepriceprediction-india.herokuapp.com/
Future Scope :
- Use multiple Algorithms
- Update the Front-End