8. Binarizing columns

9. Binning values

PART 2. Dealing with Messy Data
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#MODULE9 #FeatureEngineering

1. Why do missing values exist

2. How sparse is my data

3. Finding the missing values

4. Dealing with missing values (I)

5. List wise deletion

6. Replacing missing values with constants

7. Dealing with missing values (II)

8. Filling continuous missing values

9. Dealing with other data issues

10. Dealing with stray characters (I)

11. Dealing with stray characters (II)

12. Method chaining

PART 3. Conforming to Statistical Assumptions
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#MODULE9 #FeatureEngineering