DataHour: Understanding Logistic Regression
DataHour: Understanding Logistic Regression
30 Jan 202315:01pm - 30 Jan 202316:01pm
DataHour: Understanding Logistic Regression
About the Event
Logistic Regression is one of the most popular and basic algorithms used to solve a classification problem. It is named ‘Logistic Regression’ because its underlying technology is quite similar to Linear Regression. Whereas the term “Logistic” is taken from the Logit function that is used in this method of classification where the independent variables are continuous in nature and the dependent variable is in categorical form i.e. in classes like positive class and negative class.
In this DataHour, Spandan will share his enriching experience in the field of data science and answer questions like why to use the ‘Logistic Regression’ technique ahead of linear regression. We will also be exploring the logistic regression algorithm including the explanation of the standard logistic function.
Prerequisites: A basic understanding of Python programming language and Jupyter notebook.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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