Here's a simple pattern that can be adapted to solve many ML problems. It has plenty of shortcomings, but can work surprisingly well as-is!

Shortcomings include:
- Assumes all columns have proper data types
- May include irrelevant or improper features
- Does not handle text or date columns well
- Does not include feature engineering
- Ordinal encoding may be better
- Other imputation strategies may be better
- Numeric features may not need scaling
- A different model may be better
- And so on...

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Tips mentioned in this video:
Tip 1: https://www.youtube.com/watch?v=NGq8wnH5VSo&list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6&index=1
Tip 2: https://www.youtube.com/watch?v=sCt4LVD5hPc&list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6&index=2
Tip 6: https://www.youtube.com/watch?v=0w78CHM_ubM&list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6&index=6
Tip 7: https://www.youtube.com/watch?v=bA6mYC1a_Eg&list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6&index=7
Tip 9: https://www.youtube.com/watch?v=DKmDJJzayZw&list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6&index=9
Tip 11: https://www.youtube.com/watch?v=m_qKhnaYZlc&list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6&index=11
Tip 16: https://www.youtube.com/watch?v=f_xB7kbZR_g&list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6&index=16
Tip 27: https://www.youtube.com/watch?v=k3KrhjvaCq0&list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6&index=27
Tip 43: https://www.youtube.com/watch?v=n_x40CdPZss&list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6&index=43


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