Choose the right metrics, improve model quality, and build solutions to real business challenges. This course will teach you to prepare data, work with imbalanced datasets, and master the evaluation metrics that matter most for classification and regression tasks.
Learn how to pick the best models and fine-tune them for better performance.
Duration
40 hours
Level
Intermediate
Key Program Takeaways
Feature Engineering
Transform and improve categorical and numerical features to build better models.
Imbalanced Data Handling
Master techniques to deal with class imbalance and improve your models' accuracy.
Classification and Regression Metrics
Learn essential evaluation metrics for classification and regression.
Modules Overview
9 Modules
Module 1. Course Overview
Module 2. Entry Test
1.75h
Module 3. Feature Preparation
1.5h
Module 4. Classification Metrics
2h
Module 5. Imbalanced Classification
Module 6. Regression Metrics
1.5h
Module 7. Final Project
Module 8. Final Assessment
1.75h
Module 9. Conclusion
Our Experts
Our instructors are industry professionals and machine learning practitioners with real-world experience developing AI solutions for a variety of sectors. Their mission is to guide you through your first steps into the world of ML with clarity, support, and practical insights.
Get in Touch!
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Our team will reach out to understand your strategic objectives and craft a tailored solution thatmeets your specific needs.
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