What is Gaussian Naive Bayes Algorithm | Gaussian Naive Bayes Implementation | Intellipaat
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Welcome to our YouTube channel! In this video, we will explore the Gaussian Naive Bayes algorithm, a variant of the Naive Bayes algorithm used for classification tasks that assume continuous input variables are normally distributed. If you're interested in understanding how Gaussian Naive Bayes works, its assumptions, applications, and examples, this video is for you!
Gaussian Naive Bayes is a probabilistic algorithm that uses Bayes' theorem to make predictions based on conditional probabilities of continuous input variables.
🔵 In this video, we will cover the following topics:
00:00 - Introduction
00:54 - Logical Intuition for Gaussian Naive Bayes Algorithm
16:06 - Coding Implementation of Gaussian Naive Bayes Algorithm
Whether you're new to machine learning or looking to expand your knowledge on Gaussian Naive Bayes, this video will provide you with a comprehensive understanding of how this algorithm works, its assumptions, applications, and examples. Join us in this informative journey into the world of the Gaussian Naive Bayes algorithm! Hit the play button and let's dive into the fascinating world of machine learning. Don't forget to like, comment, and subscribe to our channel for more informative videos on machine learning, algorithms, and other related topics. Let's explore the power of Gaussian Naive Bayes in machine learning!
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