Used google colab environment
Dataset split:
- In "FinHack_V1_Ada_Boost.ipynb" manually created validation set from train set
- In "FinHack_AdaBoost_Simple_Model.ipynb" manually created validation set from train set by removing lastest dates from train set
- Manually created test set file that is inline with train file
Approach:
- Added holidays
- Added share prices of L&T Finance Holdings
- Added date time features
- Used Adaboost Regressor from sklearn
Note: Share price data is not considered for "FinHack_AdaBoost_Simple_Model.ipynb"
Best Model: "FinHack_AdaBoost_Simple_Model.ipynb" with Public score: 13.460, Private score: 23.0178