Types of Ensembles
4 min
Download Resources
1 min
Ensemble Learning
- >Ensemble method is a machine
learning technique that combines several base models in order to produce
one optimal predictive model. Learn the detailed maths and intutuion behind these ensemble methods.
Solve data science problems effeciently using multiple ensemble algorthms.
Created by Selva Prabhakaran
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20 Video Lessons
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English
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English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
What is Ensemble method
What is Ensemble method
and why is it so efficient?
02
Learn various types of
Learn various types of
Ensemble methods
03
Bias variance tradeoff
Bias variance tradeoff
using ensemble method
04
Build your first bagging
Build your first bagging
model- Random Forest
05
Understand Gradient Boosting ,
Understand Gradient Boosting ,
XGBoost etc
06
Tune the hyperparameters to
Tune the hyperparameters to
improve the performance
07
Interpret the complex
Interpret the complex
ensemble models
08
Use all cores of Laptop/Pc
Use all cores of Laptop/Pc
to train models fast
Course Curriculum
11 Modules | 28 Sessions | 2 hour 53 min Total Time
Introduction to Ensemble Models
Sessions: 3 | Time: 7 min
Bagging Ensembles
Sessions: 8 | Time: 35 min
Extremely Randomised Trees
Sessions: 1 | Time: 9 min
Gradient Boosing Algorithm
Sessions: 5 | Time: 43 min
Adaboost
Sessions: 2 | Time: 14 min
Stacking Ensembles
Sessions: 2 | Time: 11 min
Cascading Ensembles
Sessions: 2 | Time: 14 min
Cohorted Ensembles
Sessions: 1 | Time: 15 min
XGBoost
Sessions: 2 | Time: 12 min
CatBoost
Sessions: 1 | Time: 5 min
Light GBM
Sessions: 1 | Time: 5 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
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Future Data Scientists and ML Engineers
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Product Managers, Program Managers, Scrum Masters working in ML/Data science project
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Software/Data engineers interested in quantitative analysis
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Software engineers interfacing with data science team
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Executives who have to lead or interact with Data Scientists
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!
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4.5+Instructor rating
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200+ reviews
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10K+students
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15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts