posted Sep 14, 2019, 8:53 PM by MUHAMMAD MUN`IM AHMAD ZABIDI
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updated Sep 14, 2019, 9:48 PM
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A field guide to thinking about ML projects by Rahul Agarwal.
These are the 6 steps:
- Problem Definition
- Data
- Evaluation
- Features
- Modeling
- Experimentation
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Some tricks and code for Kaggle and everyday work by Rahul Agarwal.
Two interesting approaches:
- Automatic feature creation using featuretools framework
- Using autoencoders
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By Rahul Agarwal.
These are the 5 algorithms:
- Pearson correlation
- Chi-squared
- Recursive feature elimination
- Lasso from sklearn
- RandomForest from sklearn
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