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Imbalanced Classification
- Have you come across the
problem of class imbalance while working on classification problems?
Learn how to solve this problem and make classification engines to classify the target variable
even on the imbalanced data.
Created by Selva Prabhakaran
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30 Video Lessons
-
English
-
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 Class imbalance
What is Class imbalance
and why is it a problem?
02
Perform Upsampling and
Perform Upsampling and
Downsampling from scratch
03
what is hybrid sampling and
what is hybrid sampling and
Hoe is it different?
04
One class classification
One class classification
approches for imbalanced
classification
05
How to use Logistic Regression
How to use Logistic Regression
for multi class classification
06
Learn advanced sampling
Learn advanced sampling
techniques like SMOTE,
ADASYN,TOMEX LINKS
07
Knowing the parameters of
Knowing the parameters of
algorithms to handle
imbalance data
Course Curriculum
4 Modules | 26 Sessions | 2 hour 49 min Total Time
Introduction
Sessions: 4 | Time: 16 min
Sampling Based Approaches
Sessions: 12 | Time: 1 hr 11 min
Class Sensitive Learning Approaches
Sessions: 3 | Time: 18 min
Advanced Methods
Sessions: 7 | Time: 1 hr 4 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