Interpretable Machine Learning Applications

• Models of Interpretable Machine Learning Acquire the skills to construct and comprehend classification models, such as decision tree and random forest classifiers.

• Analysis of Feature Importance Learn to extract and analyze the most significant features affecting model predictions.

• Professional Advancement for Machine Learning Developers Acquire understanding of model behavior to improve proficiency as a machine learning developer and modeler.

• Advantages for Executives and Consultants Gain expertise in implementing reliable and accountable machine learning solutions, advantageous for decision-makers and consultants.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Coursera Project Network

Duration: 2 hours

Schedule: Hands-on learning