Description for Interpretable ML Applications: Part 4
Features of the Course:
Machine Learning Setup in Google Colab: Learn how to configure and set up machine learning applications in a zero-configuration environment such as Google Colab with the Machine Learning Setup in Google Colab.
What-If Tool (WIT) Integration: Comprehend the process of configuring and utilizing the What-If Tool to analyze machine learning models during training and testing.
Data Preparation and Model Training: Utilize Python notebooks in Colab to import, prepare, and train classifiers as prediction models.
Behavioral Analysis of Prediction Models: Employ WIT to analyze and interpret the behavior of trained models on both the entire test dataset and individual data points.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Coursera Project Network
Duration: 1.5 hours at your own pace
Schedule: Hands-on learning
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