Phase 02

ML Fundamentals

Classical machine learning is still the backbone of most production AI.

01What Is Machine LearningLearn~45 minutesQuiz 02Linear RegressionBuild~90 minutesQuiz 03Logistic RegressionBuild~90 minutesQuiz 04Decision Trees and Random ForestsBuild~90 minutesQuiz 05Support Vector MachinesBuild~90 minutesQuiz 06K-Nearest Neighbors and DistancesBuild~90 minutesQuiz 07Unsupervised LearningBuild~90 minutesQuiz 08Feature Engineering & SelectionBuild~90 minutesQuiz 09Model EvaluationBuild~90 minutesQuiz 10Bias-Variance TradeoffLearn~75 minutesQuiz 11Ensemble MethodsBuild~120 minutesQuiz 12Hyperparameter TuningBuild~90 minutesQuiz 13ML PipelinesBuild~120 minutesQuiz 14Naive BayesBuild~75 minutesQuiz 15Time Series FundamentalsBuild~90 minutesQuiz 16Anomaly DetectionBuild~75 minutesQuiz 17Handling Imbalanced DataBuild~90 minutesQuiz 18Feature SelectionBuild~75 minutesQuiz 19ML System Design — From Problem to Deployed ModelBuild~110 minutesQuiz 20Monitoring Models in Production — Data Drift and Concept DriftBuild~110 minutesQuiz 21Feature Stores and Training-Serving SkewBuild~100 minutesQuiz

“Stay hungry, stay foolish.”

— Steve Jobs