Module Introduction- Logistic Regression
Welcome to the module on ‘Logistic Regression’. In the last module on linear regression, you learnt how a linear regression model can be used to make predictions for continuous variables.
In this module
Now, in this module, you will learn logistic regression, which is a classification model, i.e. it will help you make predictions in cases where the output is a categorical variable.
Since logistic regression is the most easily interpretable of all classification models, it is very commonly used in various industries such as banking, healthcare, etc.
You can download the data sets used in this module from the files given below.
Prerequisites
You’ll need to brush up on basic maths related to exponentials and logarithms before you begin this session. You can brush up on these topics using the links given below.
You can also solve the practice questions provided in the Resources section.
Guidelines for in-module questions
The in-video and in-content questions for this module are not graded. Note that graded questions are given on a separate page labelled ‘Graded Questions’ at the end of this session. The graded questions in this session will adhere to the following guidelines.
People you will hear from in this module
Subject Matter Expert
Assistant Professor, IIIT- B
The International Institute of Information Technology, Bangalore, also known as IIIT-B, is one of India’s foremost graduate schools. Through its Integrated M.Tech., M.Tech., M.S. (Research) and PhD programs in the IT space, it focuses equally on innovation and education.
Subject Matter Expert
Mirza Rahim Baig
Lead Business Analyst, Flipkart
Flipkart Pvt Ltd. is an Indian electronic commerce company based in Bengaluru, India. As of 2017, Flipkart held a 39.5% market share of India’s e-commerce industry.
Industry Expert
Partner, Analytics Division at Tata (Tata IQ)
Tata IQ is one of the leading analytics services providers in India and is a part of the prestigious Tata Group. Mr. Hindol leads the analytics practices at Tata.
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