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➤ Skip Intro: .
Introduction.
Agenda.
Why do we need Machine Learning?.
What is Machine Learning?.
Traditional programming vs Machine Learning.
Machine Learning lifecycle.
Types of Machine Learning.
What is supervised learning?.
What is Logistic Regression?.
Credit card fraud detection demo.
Introduction Naive Bayes classification.
Example of Bayes Theorem.
Diabetes prediction using Naive Bayes.
Summary.
Great Learning
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