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
Validity Period: 365 days
15-Day Money Back Guarantee
Clean English Captions
Expert Query Support
Self-paced online videos
15-Day Moneyback if not satisfied
Learning duration ~ 2-3 weeks
Complete access for 1 year
What you will learn
What is logistic regression and where can it be used?
Build the classification model from scratch
Perform the pre model built analysis
Check if model is overfitted and learn how to overcome the problem of overfitting
How to use logistic regression for multi class classification
Evaluate the model using various evaluation metrices
Implement logistic regression in a project and solve it end to end
Basics of Python
Foundational knowledge of Data Science
High school maths
Who should attend this course?
Data Science Aspirants
Data Science Professionals
Software/Data engineers interested in quantitative analysis
Professionals working with large datasets
Data analysts, economists, researchers
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!