https://github.com/s-h-i-v-i-s/bangalore-housing-price-prediction

A Machine Learning Project to predict Bangalore House Prices.
https://github.com/s-h-i-v-i-s/bangalore-housing-price-prediction

jupyter-notebook machine-learning matplotlib numpy pandas python pythonflask sklearn

Last synced: about 2 months ago
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A Machine Learning Project to predict Bangalore House Prices.

• Host: GitHub
• URL: https://github.com/s-h-i-v-i-s/bangalore-housing-price-prediction
• Owner: s-h-i-v-i-s
• Created: 2024-04-18T11:21:11.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-04-18T11:24:38.000Z (8 months ago)
• Last Synced: 2024-04-18T13:16:37.119Z (8 months ago)
• Topics: jupyter-notebook, machine-learning, matplotlib, numpy, pandas, python, pythonflask, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 498 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Bangalore-Housing-Price-Prediction

![ML](https://img.shields.io/badge/ML-Regression-blue.svg) 

## 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/amitabhajoy/bengaluru-house-price-data

## Modelling :

The analysis and model creation can be found in the .ipynb file. 

The main packages used are numpy, pandas, matplotlib, seaborn and sklearn.  

## Deployemnt :

The web app has been build using basic HTML, CSS, Javascript, Flask and Herkou.

Link: https://bangalore-house-pricing.herokuapp.com/

![ML](Screenshots/BangaloreHousePricePredictionHeroku.JPG)

## Future Scope :

* Use multiple Algorithms

* Optimize Flask app.py

* Update the Front-End