Missing Value Handling - exercise

Introduction to Machine Learning Algorithms course - Session 4
Exercise 2
Handle missing values in the data by
- Setting them to a fixed value (zero)
- Generating a dummy column based on missing values in another column
- Replacing them with the column mean or the most frequent value in the column
- Looking for different missing value patterns in the data
- Filtering out columns that have many missing values

External resources

• Description of the Ames Iowa Housing Data
• Ames Housing Dataset on kaggle
• Slides (Introduction to ML Algorithms course)