Ensemble Machine Learning in Python: Random Forest, AdaBoost

Online Course

Udemy

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What is the course about?

Ensemble Machine Learning in Python: Random Forest, AdaBoost

The course Ensemble Machine Learning in Python: Random Forest, AdaBoost is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python

Course description

Ensemble Machine Learning in Python: Random Forest, AdaBoost

Understand and derive the bias-variance decomposition
Understand the bootstrap method and its application to bagging
Understand why bagging improves classification and regression performance
Understand and implement Random Forest
Understand and implement AdaBoost

Calculus (derivatives)
Numpy, Matplotlib, Sci-Kit Learn
K-Nearest Neighbors, Decision Trees
Probability and Statistics (undergraduate level)
Linear Regression, Logistic Regresion

5.5 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion
Lazy Programmer Inc.

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Prerequisites & Facts

Ensemble Machine Learning in Python: Random Forest, AdaBoost

Course Topic

Data Science, Development, Python

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Ensemble Machine Learning in Python: Random Forest, AdaBoost

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

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Ensemble Machine Learning in Python: Random Forest, AdaBoost

provided by Udemy

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