Naive Bayes Algorithm in Machine Learning Explained | Python Project in Hindi

In this video, we will learn the Naive Bayes Algorithm in Machine Learning with a practical example using Python. Naive Bayes is a supervised machine learning algorithm used for classification problems. We will understand how it works, how Bayes' Theorem is used, and how to implement the algorithm in our Loan Approval Prediction project. 📌 What You'll Learn: What is the Naive Bayes algorithm? Bayes' Theorem explained with an example Prior probability, likelihood, and posterior probability The naive conditional independence assumption Gaussian Naive Bayes in Scikit-learn Training and testing the model using Python Evaluating the model using accuracy, precision, recall, and confusion matrix Applying Naive Bayes to Loan Approval Prediction 💻 Tech Stack: Python, Pandas, NumPy, Scikit-learn, Machine Learning This tutorial is explained in a beginner-friendly Hindi-English format. #python #datascience #ai #ml #coding #interview #machinelearning #programming #llm #interviewquestions