Dive into a comprehensive tutorial on Logistic Regression and Naive Bayes in Machine Learning. Explore the fundamentals of Machine Learning, including its lifecycle and types, with a focus on supervised learning. Learn about Logistic Regression and its application in credit card fraud detection through a practical demo. Discover the principles of Naive Bayes classification, understand the Bayes Theorem with examples, and apply it to diabetes prediction. Gain valuable insights into these essential classification algorithms and their real-world applications in spam filtering, text classification, sentiment analysis, and recommender systems.
Logistic Regression and Naive Bayes in Machine Learning - Machine Learning Tutorial - Great Learning
Overview
Syllabus
➤ 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.
Taught by
Great Learning
