- How to build end to end machine learning or data science project
- Use Kaagle dataset of used cars
- data cleaning and feature engineering using pandas, numpy, matplotlib.
- Model building using XgBoost, Linear regression, random forest etc.
- Model Hyperparamter tunning using gridsearchcv.
- Export model to a file and write python flask server around it that can server http requests generated by UI
- Build ui using HTML, CSS, Javascript and deploying to a Cloud server
officialnmn / car-price-prediction Goto Github PK
View Code? Open in Web Editor NEWEnd to End data science project on dataset of used cars from CarDekho.