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AI Interview MasteryBeginner → IntermediateNEW
Machine Learning Foundations
The complete ML interview prep course — every concept from supervised learning and data splitting to regularization, hyperparameter tuning, and debugging production models. Structured as 14 chapters, each closing with a real interview scenario.
4.9rating3,180 students9h 45m total70 lessons
What you'll learn
Explain supervised, unsupervised, and reinforcement learning with real examples
Choose the right evaluation metric for any ML problem
Diagnose overfitting, underfitting, data drift, and concept drift
Explain the bias-variance tradeoff with concrete analogies
Apply regularization (L1/L2) and know when to use each
Design a hyperparameter tuning strategy for a production model
Debug an ML model that works in training but fails in production
Final Project
Complete a full ML mock interview: design a model, choose metrics, debug a failing scenario, and explain every decision
Curriculum
70 lessons · 9h 45mCourse Info
Lessons70 lessons
Total time9h 45m
LevelBeginner → Intermediate
Students3,180
Rating4.9 / 5.0