I have made an end-to-end project for predicting the price of a House in Bangalore. In this project, I have used HTML, JavaScript, Machine learning, Python & Its libraries.
I prefer to use linear regression with an R2 Score of 82 %.
I have preprocessed many times in order to get the best r2 and in the end, I have got it.
I have used One-Hot encoding, Model pipeline, and Feature Engineering like null value filling, Transformation of columns, and Scaling of the columns.
This project used some python based libraries in order to get some inference from the data with the help of some visualization.
By using the Flask framework I have done local deployment with help of Pycharm IDE.
Understand the debug process.
Implement HTML, JavaScript Framework to make front end.