To Solve various machine learning tasks

1. Handling Missing values.
   • Dropped columns that have missing values more than threshold. Dropped rows with missing valeus
     
   • Imputed with mean and median for missing values based on distribution of data
     
2. Label encoding for categorical values
   
3. Model selection through cross validation
   
4. Optimization through grid search cv on hyper-parametres of selected model, Gradient Boosting Regressor.