Logistic Regression&application as Classification Algorithm

Create a Linear Regression model
Create a Logistic Regression model and compare with Linear model
Perform a classifcation task with Logit model
Create a Linear Regression model
Create a Logistic Regression model and compare with Linear model
Perform a classifcation task with Logit model
In this project, you will learn about Logistic Regression and its application as Classification Algorithm. The project demonstrates the theoretical background of Logistic Regression using the Sigmoidal function. It also explains the suitability of linear vs logistic regression to answer the specific types of research questions. Finally, it covers an implementation of classification algorithm using logit model. The project utilizes the 'Candy' dataset for illustrative purpose.
Logistic Regression
Data Analysis
Linear Regression
Classification Algorithm
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction to Logistic Regression
Dataset and Linear Regression
Logistic Regression and comparison with Linear Regression
Classification Algorithm - Logit Model
Model Evaluation
Model Training
Model Testing
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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