This is a simple Regression project that uses the concept of Random Forest Regressor to make the prediction of a car price
- Basic Data Analysis and Visualisation
- Feature Engineering and Feature Selection
- Model Evaluation
- Pickling the model
- Using Flask to make the front end side of the project
The dataset 'car data.csv' used in this project was downloaded from Kaggle.