Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.gitignore		.gitignore
Blend with df outliers.ipynb		Blend with df outliers.ipynb
Blending submissions.ipynb		Blending submissions.ipynb
Combining model without outlier.ipynb		Combining model without outlier.ipynb
Continuous data processing.ipynb		Continuous data processing.ipynb
DL on cont data-Copy1.ipynb		DL on cont data-Copy1.ipynb
DL on cont data.ipynb		DL on cont data.ipynb
Elo - ML model - 3.690.ipynb		Elo - ML model - 3.690.ipynb
Elo - ML model - 3.693.ipynb		Elo - ML model - 3.693.ipynb
Elo - ML model - 3.695 beta.ipynb		Elo - ML model - 3.695 beta.ipynb
Elo - ML model - 3.695.ipynb		Elo - ML model - 3.695.ipynb
Elo - ML model - 3.696.ipynb		Elo - ML model - 3.696.ipynb
Elo - ML model - alpha.ipynb		Elo - ML model - alpha.ipynb
Elo - ML model - beta.ipynb		Elo - ML model - beta.ipynb
Elo - ML model - cat aggregates.ipynb		Elo - ML model - cat aggregates.ipynb
Elo - ML model 3.691 beta new.ipynb		Elo - ML model 3.691 beta new.ipynb
Elo - ML model 3.691.ipynb		Elo - ML model 3.691.ipynb
Elo - ML model clean.ipynb		Elo - ML model clean.ipynb
Elo - ML model proc_df.ipynb		Elo - ML model proc_df.ipynb
Elo - ML model-RF copy.ipynb		Elo - ML model-RF copy.ipynb
Elo - ML model-backup.ipynb		Elo - ML model-backup.ipynb
Elo - ML model-new.ipynb		Elo - ML model-new.ipynb
Elo - ML model.ipynb		Elo - ML model.ipynb
Elo RF- New.ipynb		Elo RF- New.ipynb
Elo RF.ipynb		Elo RF.ipynb
Elo end 2 end.ipynb		Elo end 2 end.ipynb
Elo feature engineering - 3.691 - beta.ipynb		Elo feature engineering - 3.691 - beta.ipynb
Elo feature engineering - 3.691.ipynb		Elo feature engineering - 3.691.ipynb
Elo feature engineering - 3.696.ipynb		Elo feature engineering - 3.696.ipynb
Elo feature engineering 3.690.ipynb		Elo feature engineering 3.690.ipynb
Elo feature engineering 3.693 .ipynb		Elo feature engineering 3.693 .ipynb
Elo feature engineering 3.695 beta.ipynb		Elo feature engineering 3.695 beta.ipynb
Elo feature engineering 3.695.ipynb		Elo feature engineering 3.695.ipynb
Elo feature engineering alpha.ipynb		Elo feature engineering alpha.ipynb
Elo feature engineering beta .ipynb		Elo feature engineering beta .ipynb
Elo feature engineering beta.ipynb		Elo feature engineering beta.ipynb
Elo feature engineering using agg.ipynb		Elo feature engineering using agg.ipynb
Elo feature engineering-backup.ipynb		Elo feature engineering-backup.ipynb
Elo feature engineering-proc_df - new-Copy1.ipynb		Elo feature engineering-proc_df - new-Copy1.ipynb
Elo feature engineering-proc_df - new.ipynb		Elo feature engineering-proc_df - new.ipynb
Elo feature engineering-proc_df-OLD.ipynb		Elo feature engineering-proc_df-OLD.ipynb
Elo feature engineering-proc_df.ipynb		Elo feature engineering-proc_df.ipynb
Elo feature engineering.ipynb		Elo feature engineering.ipynb
Elo merchant category reco - using RF.ipynb		Elo merchant category reco - using RF.ipynb
Elo outlier predictions & blending .ipynb		Elo outlier predictions & blending .ipynb
Feature selection using Boruta.ipynb		Feature selection using Boruta.ipynb
Feature selection.ipynb		Feature selection.ipynb
Merchants.ipynb		Merchants.ipynb
Model - DL & LGBM regression.ipynb		Model - DL & LGBM regression.ipynb
Model - XG boost.ipynb		Model - XG boost.ipynb
Null importances - beta.ipynb		Null importances - beta.ipynb
Outlier classification using Autoencoder.ipynb		Outlier classification using Autoencoder.ipynb
Pytorch data loader & category embeddings.ipynb		Pytorch data loader & category embeddings.ipynb
README.md		README.md
Random forest regressor.ipynb		Random forest regressor.ipynb
Scrap pad.ipynb		Scrap pad.ipynb
TS Fresh.ipynb		TS Fresh.ipynb
Train & test clean.ipynb		Train & test clean.ipynb
Trunc norm mean .ipynb		Trunc norm mean .ipynb
Untitled.ipynb		Untitled.ipynb
Using DL beta.ipynb		Using DL beta.ipynb
Using DL last try.ipynb		Using DL last try.ipynb
Using DL-Copy1.ipynb		Using DL-Copy1.ipynb
Using DL.ipynb		Using DL.ipynb
Using Feature tools - old.ipynb		Using Feature tools - old.ipynb
Using Feature tools.ipynb		Using Feature tools.ipynb
Using feature tools-Copy1.ipynb		Using feature tools-Copy1.ipynb
Using feature tools.ipynb		Using feature tools.ipynb
kfold lightgbm.ipynb		kfold lightgbm.ipynb
scrap pad 2.ipynb		scrap pad 2.ipynb

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