boston_house

• Imported boston dataset from sklearn and studied pattern in dataset by performing EDA using matplotlib and seaborn
• Performed feature engineering on dataset and generated a machine learning model to predict house price by taking various features as input
• Used flask and html to generate a simple web application that takes feautres as input and predict house price
• Used Dockers to deploy the web application on cloud platform Heroku and github action for maintainance of the api

Software and tool requirement

1. Github
2. Heroku
3. Gitcli
4. Vscode
5. Jupyter Notebook
6. Dockers

Note : Website has been taken down due to heroku.com changing their policy and no longer providing unpaid deplyement services