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Overview
Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python What you'll learn: Understand and derive the bias-variance decompositionUnderstand the bootstrap method and its application to baggingUnderstand why bagging improves classification and regression performanceUnderstand and implement Random ForestUnderstand and implement AdaBoost In recent years, we've seen a resurgence inAI, orartificial intelligence, andmachine learning.Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts.Google's AlphaGo...
Syllabus
- Get Started
- Bias-Variance Trade-Off
- Bootstrap Estimates and Bagging
- Random Forest
- AdaBoost
- Background Review
- Appendix / FAQ Intro
- Setting Up Your Environment (FAQ by Student Request)
- Extra Help With Python Coding for Beginners (FAQ by Student Request)
- Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Instructor
Lazy Programmer Team
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