AI Fundamentals
Model Evaluation and Validation
20 lessons in AI Fundamentals
- Ranking Metrics on Imbalanced DataCode Quiz
- PR vs ROC on Imbalanced Fraud DataQuiz
- PR vs ROC on Imbalanced DataFlashcard
- Metrics for Imbalanced DataSlides / Video
- Cross-Validation on Time-Series DataCode Quiz
- Metric & Validation Strategy SelectionQuiz
- Choosing Metrics and Validation StrategyFlashcard
- Choosing Metrics and ValidationSlides / Video
- Cross-Validation Data Leakage BugCode Quiz
- Cross-Validation on Imbalanced DataQuiz
- Metrics & Cross-ValidationFlashcard
- Evaluation Metrics & Cross-ValidationSlides / Video
- Data Leakage in Model EvaluationCode Quiz
- Recognizing OverfittingQuiz
- Overfitting & Bias-Variance TradeoffSlides / Video
- Overfitting & Bias-Variance TradeoffFlashcard
- Core Evaluation Metrics at a GlanceSlides / Video
- Splits and Cross-Validation BasicsSlides / Video
- Common Evaluation Metrics OverviewFlashcard
- Data Splits and Cross-Validation BasicsFlashcard