Naive Bayes vs Logistic Regression for Classification | ML Tutorial (Day 9)

In Day 9 of this hands-on Machine Learning course, you will learn how Naive Bayes and Logistic Regression work for classification tasks. This lesson focuses on probability-based classification, understanding how these algorithms make predictions, and comparing Naive Bayes with Logistic Regression in practical Machine Learning scenarios. You will learn: What Naive Bayes is and how it works Understanding probabilistic classification How Logistic Regression works for classification Training and evaluating classification models Comparing Naive Bayes and Logistic Regression When to use each algorithm in real-world projects This tutorial is ideal for: Beginners learning Machine Learning Python developers exploring data science Students studying AI fundamentals Anyone interested in classic classification algorithms 📌 Clear explanations, practical examples, and beginner-friendly. 👉 Part of a free hands-on AI & Machine Learning course series.