Ensemble Learning

Created by Selva Prabhakaran

20 Video Lessons
English
English captions

Validity Period: 365 days

$49

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Self-paced online videos
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Learning duration ~ 2-3 weeks
Complete access for 1 year

What you will learn

What is ensemble method and why is it so effecient?

Learn various types of ensemble methods

Bias Variance tradeoff using ensemble method

Build your first bagging model - Random Forest

Understand Gradient Boosting, XGBoost etc

Tune the hyperparameters to improve the performance

Interpret the complex ensemble models

Use all cores of laptop/pc to train models fast

Course Curriculum

Requirements

Basics of Python
Foundational knowledge of Data Science
High school maths

Who should attend this course?

Data Science Aspirants
Data Science Professionals
Software/Data engineers interested in quantitative analysis
Professionals working with large datasets
Data analysts, economists, researchers

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

4.5+Instructor rating
200+ reviews
10K+students
15+ Courses

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