Logistic Regression&application as Classification Algorithm
Offered By: Coursera Project Network via Coursera
Course Description
Overview
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.
Syllabus
- Project Overview
- Welcome to Logistic Regression & Application as Classification Algorithm. In this R-based 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.
Taught by
Barsha Saha
Related Courses
Statistical Learning with RStanford University via edX The Analytics Edge
Massachusetts Institute of Technology via edX Regression Models
Johns Hopkins University via Coursera Introduction à la statistique avec R
Université Paris SUD via France Université Numerique Statistical Reasoning for Public Health 2: Regression Methods
Johns Hopkins University via Coursera