Car-Price-Prediction using advance regression techniques
Packages used:
- scikit
- Pandas
- NumPy
- Matplotlib
- Pickle
- Flask
- Seaborn
Feature engineering: SelectKBest/mutual_info_regression
Regression algorithms used: Linear Regression, Lasso Regression and Ridge Regression
Saved model using pickle library
Created a web app using Flask
Model deployement in Heroku