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Module 1: Overview
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Module 2: EDA: Exploratory Data Analysis
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Module 3: Data Preparation
- Lesson 1: Advanced Data ETL (Extract, Transform, and Load)
- Lesson 2: Aggregation & Multi-Level Aggregation
- Lesson 3: Pivot & De-Pivot
- Lesson 4: Calculated Values
- Lesson 5: Regular Expressions
- Lesson 6: Changing Value Types
- Lesson 7: Feature Generation and Feature Engineering
- Lesson 8: Loops
- Lesson 9: Macros
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Module 4: Predictive Modeling Algorithms
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Module 5: Model Construction and Evaluation
- Lesson 1: Advanced Performance Criteria
- Lesson 2: ROC Plots
- Lesson 3: Comparison between Models
- Lesson 4: Sampling
- Lesson 5: Weighting
- Lesson 6: Feature Selection: Forward Selection
- Lesson 7: Feature Selection: Backward Elimination
- Lesson 8: Validation of Preprocessing and Preprocessing Models
- Lesson 9: Optimization & Logging Results
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Module 6: Additional Workshops
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