Interactive Study Module
Model Validation: K-Fold Cross-Validation & Hyperparameter Tuning (GridSearch)
By Bravion EDU DATA SCIENCE Team
10 min read
Lesson Overview: Model Validation: K-Fold Cross-Validation & Hyperparameter Tuning (GridSearch)
DATA SCIENCE • Level 3: Advanced Concepts & Deep Dives
This is lesson 14 of 17 in the DATA SCIENCE track (Level 3: Advanced). The multidisciplinary field using scientific methods, algorithms, and systems to extract knowledge from data.
Lesson write-up in progress
The full written walkthrough for "Model Validation: K-Fold Cross-Validation & Hyperparameter Tuning (GridSearch)" has not been published yet. Use the sandbox below to experiment, and use the module outline to move to neighbouring lessons.
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Where This Lesson Fits
- Module: Level 3: Advanced Concepts & Deep Dives (4 lessons)
- Previous lesson: Regression Models: Ridge, Lasso, ElasticNet Regularization
- Next lesson: Big Data Processing with PySpark & Distributed DataFrames
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