Overview
Interpretable Machine Learning Applications: Part 4
Join this 1-hour guided project to explore the 'What-If' Tool (WIT) in the context of training and testing machine learning prediction models. You'll gain hands-on experience in:
- Setting up a machine learning application using Python in an interactive notebook on Google's Colaboratory environment.
- Importing and preparing data.
- Training and testing classifiers as prediction models.
- Utilizing WIT to analyze the behavior of trained prediction models for specific data points on an individual basis.
- Extending the analysis to a global basis, considering all test data.
Enhance your understanding of machine learning models with practical tools and insights.
University: Provider: Coursera
Categories: Python Courses, Machine Learning Courses, Data Visualization Courses
Syllabus
Taught by
Tags
Coursera
Coursera
1275 Courses
Coursera
Paid Course
English
1-2 hours
On-Demand
Intermediate
