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README.md

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 # Feature-Engineering
 This notebook provides some skills to perform Feature-Engineering on data.
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+## Skills that are covered in this notebook:
+1. Different types of variables
+2. Problems in variables
+3. Machine learning model requirements
+4. Engineering missing values (NA) in numerical variables
+5. Engineering missing values (NA) in categorical variables
+6. missing value imputation methods
+7. when to use each NA imputation method
+8. Top coding, bottom coding and zero coding
+9. Engineering rare values in categorical variables
+10. Engineer labels of categorical variables
+11. Engineering mixed variables
+12. Engineering Dates
+13. Feature Scaling
+14. Gaussian Transformation
+15. Discretisation
+16. Engineering features with Feature_Engine