End to end machine learning project for house price prediction

In this project I have tried to do some EDA on the home price dataset and run different machine learning models to check which model gives the best solution with a good parameter. After getting the best model and saving it then I used Flask for deploying the model.

I took the dataset from here and the predicted prices of the houses are in Lakh (Hundred thousands)

Built With

• Python, HTML, CSS, JavaScript, jQuery
• Flask

Getting Started

git clone https://github.com/Micky373/end_to_end_home_price_prediction_ml_project.git

cd end_to_end_home_price_prediction_ml_project

pip install -r requirements.txt

cd server

python sever.py

After the flask server is succesfully loaded go to the client directory and open the html cd ../client

Then the UI will open

Here pass the location of the house, number of bed rooms, number of bath rooms and area then the prediction will be displayed

All the EDA, model training and predicting is clearly shown in the note books found in the notebooks folder

Author

• GitHub: @GitHub

• LinkedIn: LinkedIn

🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the issues page.

Show your support

Give a ⭐️ if you like this project!

Acknowledgments

• Special thanks to Dhaval Patel, who provided the tutorial for the house prediction model
• The UI implementation and code flow done with the help of this play list video