Interpretable Machine Learning Applications: Part 4
Completed by Kavin Chandrasekar
April 12, 2026
1 hours (approximately)
Kavin Chandrasekar's account is verified. Coursera certifies their successful completion of Interpretable Machine Learning Applications: Part 4
What you will learn
Set up a machine learning application in a "zero configuration" environment such as Google's Colab(oratory) Research platform.
Set up and configure the What-If Tool to analyze the behavior of exemplary machine learning prediction models.
Skills you will gain
- Category: Statistical Visualization
- Category: Analysis
- Category: Machine Learning Methods
- Category: Software Visualization
- Category: Applied Machine Learning
- Category: Data Analysis
- Category: Model Training
- Category: Data Preprocessing
- Category: Classification Algorithms
- Category: Data Import/Export
- Category: Random Forest Algorithm
- Category: Data Processing
