Codes related to various Machine Learning Hackathons.
sudalairajkumar / ml Goto Github PK
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License: MIT License
Codes related to various ML Hackathons
License: MIT License
I was running your code in my system
Came across this minor issue.
Need to replace
train_df[date_col + "_week"] = train_df[date_col].dt.**year**
test_df[date_col + "_week"] = test_df[date_col].dt.**year**
with
train_df[date_col + "_week"] = train_df[date_col].dt.**week**
test_df[date_col + "_week"] = test_df[date_col].dt.**week**
Hi Sir!
Newbie question.
I see that you have done feature engineering in Club Mahindra competition, but I didn't came across any EDA part. I wanted to know how you came to know these features are important and will work. Is it simple hit and trial and compare performance of model or is there any other way.
Regards
Bhaskar
Variables such as month, Weekday, Hour are all categorical variables. Why haven't you one-hot-encoded them before feeding into the xgboost classifier?
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