Logistic Regression

  • Learn how to solve classification problems in data science. Logistic regression is one of the
    foundational classification algorithms in machine learning. Learn the Ins and Outs of
    logistic regression theory, the math, in-depth concepts, do's and don'ts and code implementation
    With crystal clear explanations as seen in all of my courses.

Created by Selva Prabhakaran

  • 35 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 Logistic Regression
and where can it be used?

02

Build the classification model
from scratch

03

Perform the pre-model
built analysis

04

Check if the model is over fitted
and learn how to overcome the
problem of overfitting

05

How to use Logistic Regression
for multi class classification

06

Evaluate the model using
various evaluation metrices

07

Implement Logistic Regression
in a project and solve it
end to end

Course Curriculum

5 Modules      |    36 Sessions     |    4 hour 48 min Total Time  

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Logistic Regression - Level 1

Sessions: 6 | Time: 51 min expand_more

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Logistic Regression Theory - Level 2

Sessions: 5 | Time: 42 min expand_more

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Logistic Regression Concepts - Level 3

Sessions: 5 | Time: 33 min expand_more

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Examining Model Fit (Project)

Sessions: 8 | Time: 1 hr 10 min expand_more

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Evaluating Performance

Sessions: 12 | Time: 1 hr 32 min expand_more

Requirements

  • Courses Page1 Basic Maths and Logical Reasoning
  • Courses Page1 Curiosity about Data Science
  • Courses Page1 Learning Mindset

Who should attend this course?

  • Future Data Scientists and ML Engineers

  • Product Managers, Program Managers, Scrum Masters working in ML/Data science project

  • Software/Data engineers interested in quantitative analysis

  • Software engineers interfacing with data science team

  • 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!
  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 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