Applied Machine Learning (MIF26) 

Week 1:

Introduction to Applied ML & MLOps Lifecycle. 

Week 2:

Data Pipeline & Advanced Feature Engineering

Week 3:

Advanced Regression & Regularization

Week 4:

Classification & Imbalanced Learning

Week 5:

Tree-Based Models & Ensemble Learning

Week 6:

Clustering & Anomaly Detection

Week 7:

Validation, Hyperparameter Tuning, & Explainable AI

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