Outlier Detection - exercise

Introduction to Machine Learning Algorithms course - Session 4
Exercise 3
Detect and remove outliers in the data using the following techniques:
- Numeric outliers outside the upper/lower whiskers of a box plot
- Outliers in the distribution tails (z-score)
- Outliers remote from cluster centers (DBSCAN)

External resources

• Ames Housing Dataset on kaggle
• Description of the Ames Iowa Housing Data
• Four Techniques for Outlier Detection
• Slides (Introduction to ML Algorithms course)