Boosting Models

Data Scientist Learn Boosting in Machine Learning –  An ensemble meta-algorithm for primarily reducing bias, and also variance. Boosting Models are the most advanced algorithms used in Machine Learning
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What will you learn?

  • You will understand the Concept of Boosting
  • You will get an Introduction to Adaptive Boosting
  • You will get an Introduction to Gradient Boosting
  • You will get an Introduction to Xg Boost Model
  • You will get an Advantages of using Boosting Models
  • You will get an Introduction to Ensembling Techniques

Who is this Course for?

Boosting Models

Course Requirements

Boosting Models

1

Sections

7

Lessons

1

Hours

Course Curriculum

Section 1
Introduction to Boosting models
Introduction to Boosting models

Every Course Comes with…

HD VIDEOS

Every Projects comes with 2-3 hours of video lessons giving you step-by-step solution with explanation of the entire project

CODE & WORKBOOKS

You will get the entire project workbooks, datasets, and other resources with it

PROJECT PORTFOLIO

Build your Project Portfolio by adding these projects to your Online Profiles like GitHub, LinkedIn, Kaggle etc

I was amazed by how much I was able to gain in such a short amount of time.
The #1 thing I got from the course was the confidence to complete complicated projects.

Now I am also a believer in Projects over Degrees
Prashant Singh
Vice President, PayTM
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They helped me chose the right path, the right projects and gave me the right guidance.
DataisGood has changed my life.
Sourav Kumar
Sr. Data Analyst, TCS

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