Advanced Machine Learning

Master advanced ML techniques including ensemble methods, feature engineering, and model explainability. Compete at Kaggle-level challenges.

Duration

5 weeks

Level

Advanced

Format

Live Sessions (Cohort-based)

Topics

3 modules

What You'll Learn

Engineer features for maximum model performance

Build and optimize ensemble models

Explain complex model predictions

Detect and mitigate algorithmic bias

Advanced feature engineering and selection

Ensemble models (Random Forests, XGBoost, LightGBM)

Model explainability (SHAP, LIME) and bias mitigation

Cohort-based live sessions with expert instructors

Live interactive sessions

Learn with peers in cohorts

Hands-on projects & assignments

Certificate of completion

Career support & mentorship

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