Master Logistic Regression in Python: A Complete Guide for Machine Learning 🚀

Learn how to implement Logistic Regression in Python with this comprehensive tutorial. Perfect for beginners and professionals looking to enhance their machine learning skills. Enroll now and boost your AI expertise!

Master Logistic Regression in Python: A Complete Guide for Machine Learning 🚀
Simplilearn
207.3K views • Mar 22, 2018
Master Logistic Regression in Python: A Complete Guide for Machine Learning 🚀

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This Logistic Regression video will help you understand how a Logistic Regression algorithm works in Machine Learning. You will learn what is Supervised Learning, what is a classification problem, and the maths behind Logistic Regression. In the end, you will see a demo on how to predict the number present in an image using Logistic Regression in Python.

Below topics are covered in this Logistic Regression Tutorial:
0:00 - 01:52 Introduction
01:52 - 05:35 What is Supervised Learning?
05:35 - 06:10 What is Classification?
06:10 - 15:49 What is Logistic Regression?
15:49 - 16:58 Comparing Linear and Logistic regression
16:58 - 18:40 Logistic regression applications
18:40 - 38:17 Use case - Predicting the number in an image


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What is Logistics Regression?
Logistic regression is a classification algorithm that is used to predict a binary outcome based on a set of independent variables. Logistic regression uses a logistic function to estimate the probability of a target variable belonging to a particular class or category. It assumes that the dependent variable is binary or dichotomous and there should be no or very little multicollinearity between the predictor variables. Logistic regression

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Video Information

Views

207.3K

Likes

2.4K

Duration

38:17

Published

Mar 22, 2018

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