clean.py => cleaning the data

traindataset.csv => cleaned data csv file

model.py => training file

--RESULT--- Algorithm => GradientBoostingRegressor Root Mean Square error => 55745.56

==========second attempt========

New additions:

Did feature scalling

Removed rows that have ouliers in the target variable 

Changed the model

------RESULT----

Model = > ExtraTreesRegressor

Root Mean Square error => 34878.80

Note : Please try using sklearn.ensemble.HistGradientBoostingRegressor; i am not being able to update my scikit-learn for some reason.

==========third attempt========

New addition:

used EllipticEnvelope for outlier detection [95% of the data is outliers]

------RESULT----

Model = > ExtraTreesRegressor

Root Mean Square error => 3806.73