This is a supervised regression time series problem , to build a model to predict the prices of bulldozer using various factors that can affect the price.
i just wanted to get my hands durty on a larger datasets
- Basic exploratory data analysis
- Data cleaning to remove null values
- Feature engineering to extract seasonality from the data
- building custom RMSLE evaluation metrics, which was stated as the base metrics
- Buillding model using randomforestregressor
- Hyperparameter tuning using Randomizedsearchcv
- Making predictions with the model
