Workshop 09 | Machine Learning: Zero to Hero Logistic regression is a statistical model that in its basic form uses a logistic function to model a binary dependent variable, although many more complex extensions exist. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (a form of binary regression). Logistic Regression is a foundational step in classification.
Friday, October 9, 2020
3:00 PM β 4:15 PM UTC
3:00 PM | Introduction to Classification |
3:10 PM | Introduction to Logistic Regression |
3:20 PM | Implementation in Python |
3:30 PM | Training the ML Model |
3:40 PM | Error matrix & Accuracy Score |
3:50 PM | Q/A |
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