What You Need to Know Before
You Start

Starts 8 June 2025 11:59

Ends 8 June 2025

00 days

00 hours

00 minutes

00 seconds

Interpretable Machine Learning Applications: Part 4

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 envir.

via Coursera

Not Specified

Optional upgrade avallable

All Levels

Progress at your own speed

Free

Optional upgrade avallable

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