92% Off Ensemble Machine Learning in Python: Random Forest, AdaBoost | Online Course

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In this course, you’ll learn Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python. Enrolling in Course Ensemble Machine Learning in Python: Random Forest, AdaBoost by Lazy Programmer Inc.

Course: Ensemble Machine Learning in Python: Random Forest, AdaBoost
Author: Lazy Programmer Inc.
Description: Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python
Skill Level: All Levels
Content: 3 hours
Lessons: 31
Languages: English
Includes: Lifetime access
Categories: Business / Data & Analytics
There is no risk: 30 day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: Course Certificate of Completion.

With Ensemble Machine Learning in Python: Random Forest, AdaBoost, you will be able to:
You will be able to understand and derive the bias-variance decomposition
You will understand the bootstrap method and its application to bagging
You will understand why bagging improves classification and regression performance
You will understand and implement Random Forest
You will understand and implement AdaBoost

This course is intended for anyone?
This course is intended for those who understand the types of models that win machine learning contests (Netflix prize, Kaggle)
This course is intended for students studying machine learning
This course is intended for professionals who want to apply data science and machine learning to their work
This course is for entrepreneurs who want to apply data science and machine learning to optimize their business
This course is for students in computer science who want to learn more about data science and machine learning
This course is for those who know some basic machine learning models but want to know how today’s most powerful models are built

Enroll in This Online Course Now!
 


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