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ML Model Evaluation & Hyperparameter Tuning

Learn to evaluate machine learning models, choose the right metrics, and tune hyperparameters using cross-validation, grid search, and random search. Build practical Python skills to detect overfitting, prevent data leakage, and compare models fairly.

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|2h 50m|8 lessons
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ML Model Evaluation & Hyperparameter Tuning course

What's included

8

Lessons

2h 50m

Duration

Certificate

What you'll learn

Skills and outcomes you'll walk away with

Plan an Honest Model Evaluation

Measure Regression Errors

Read Classification Errors

Choose Thresholds and Ranking Metrics

Choose a Cross-Validation Strategy

Diagnose Underfitting and Overfitting

Course curriculum

8 lessons • 2h 50m total

ML Model Evaluation & Hyperparameter Tuning8 lessons
1

Plan an Honest Model Evaluation

18m
2

Measure Regression Errors

18m
3

Read Classification Errors

23m
4

Choose Thresholds and Ranking Metrics

21m
5

Choose a Cross-Validation Strategy

23m
6

Diagnose Underfitting and Overfitting

19m
7

Search Hyperparameters Safely

24m
8

Select, Refit and Report the Final Model

24m

Certification path

Certification exam

24 multiple-choice questions • 70% passing score required

Verified certificate

Earn a verified PDF certificate with unique verification ID upon completion • ₹999

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