Car Price Prediction

1. How to build end to end machine learning or data science project
2. Use Kaagle dataset of used cars
3. data cleaning and feature engineering using pandas, numpy, matplotlib.
4. Model building using XgBoost, Linear regression, random forest etc.
5. Model Hyperparamter tunning using gridsearchcv.
6. Export model to a file and write python flask server around it that can server http requests generated by UI
7. Build ui using HTML, CSS, Javascript and deploying to a Cloud server

Preview