Logistic Regression

Type of course:

Digital learning, Lesson

Language:

Duration:

30 minutes

Workload:

2 hours

Proficiency:

Advanced

Target:

Manager, Professionals, Workers

Hello, In this nugget we will learn about logistic regression. It is one of the most common methods for classification.

The objective is to learn how to build a logistic regression model, how to evaluate it and then how to use it for classification.

Learning outcomes

At the end of this nugget, the student will be able to evaluate the accuracy of the model in predicting outcomes or classifying data by comparing predicted values with actual values.

Course Content

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Logistic Regression 11 Unities

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Single module Content

0% Complete 0/11 Steps

Welcome to "Logistic Regression"

Logistic regression - Introduction video

What function for this data pattern?

Probability of a category

Logistic regression

How to calculate parameters?

Logistic Log Likelihood

Gradient descent - iterative approach

Logistic regression - Conclusion video

Further Material

Congratulations!

Topics

Digital Transformation, Artificial Intelligence (AI), Data Analytics

Provided by

Grenoble INP – UGA

Content created in 2021

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