ML Fundamentals
18 个课时
01 What Is Machine Learning
CODE QUIZ 1 OUTPUTS
✓ → 02 Linear Regression CODE QUIZ 1 OUTPUTS
✓ → 03 Logistic Regression CODE QUIZ 1 OUTPUTS
✓ → 04 Decision Trees and Random Forests CODE QUIZ 1 OUTPUTS
✓ → 05 Support Vector Machines CODE QUIZ 1 OUTPUTS
✓ → 06 K-Nearest Neighbors and Distances CODE QUIZ 1 OUTPUTS
✓ → 07 Unsupervised Learning CODE QUIZ 1 OUTPUTS
✓ → 08 Feature Engineering & Selection CODE QUIZ 1 OUTPUTS
✓ → 09 Model Evaluation CODE QUIZ 1 OUTPUTS
✓ → 10 Bias-Variance Tradeoff CODE QUIZ 1 OUTPUTS
✓ → 11 Ensemble Methods CODE QUIZ 2 OUTPUTS
✓ → 12 Hyperparameter Tuning CODE QUIZ 1 OUTPUTS
✓ → 13 ML Pipelines CODE QUIZ 1 OUTPUTS
✓ → 14 Naive Bayes CODE QUIZ 1 OUTPUTS
✓ → 15 Time Series Fundamentals CODE QUIZ 1 OUTPUTS
✓ → 16 Anomaly Detection CODE QUIZ 1 OUTPUTS
✓ → 17 Handling Imbalanced Data CODE QUIZ 1 OUTPUTS
✓ → 18 Feature Selection CODE QUIZ 1 OUTPUTS
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