Interactive Study Module
Classification Models: Logistic Regression, Random Forest, XGBoost
By Bravion EDU DATA SCIENCE Team
12 min read
Lesson Overview: Classification Models: Logistic Regression, Random Forest, XGBoost
DATA SCIENCE • Level 3: Advanced Concepts & Deep Dives
This is lesson 12 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 "Classification Models: Logistic Regression, Random Forest, XGBoost" 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: Predictive Modeling with Scikit-Learn Pipeline Architecture
- Next lesson: Regression Models: Ridge, Lasso, ElasticNet Regularization
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