Imbalanced Machine Learning

Data Scientist Learn to Train your Machine Learning Models on imbalanced datasets resolving unique challenges to the learning problems.
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What will you learn?

  • Issues caused by Imbalanced Datasets
  • Introduction to Sampling Techniques
  • Introduction to Over Sampling and Under Sampling.
  • Introduction to Local Outlier Factor Model
  • Introduction to Isolation Forests
  • Introduction to XgBoost for Imbalanced Data

Who is this Course for?

Imbalanced Machine Learning

Course Requirements

Imbalanced Machine Learning

1

Sections

9

Lessons

1

Hours

Course Curriculum

Section 1
Dealing with Imbalanced data
Dealing with Imbalanced data

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
I was very sceptical that I can complete a course Online, but thankfully DataisGood proved me wrong.

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

Your Rock-Solid Money Back Guarantee 

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Our learners work at

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We are on a mission to create Data Science courses that will make our students not just learn the subject, but fall in ❤️ love with that subject so that they become lifelong passionate learners and explorers of that subject.

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