Naive Bayes Classifier | Naive Bayes Algorithm | Naive Bayes Classifier With Example | Simplilearn

🔥Discover SKillUP free online certification programs – https://www.simplilearn.com/skillup-f... "️️🔥Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professio... ️🔥IITK - Professional Certificate Course in Generative AI and Machine Learning - https://www.simplilearn.com/iitk-prof... ️🔥Microsoft AI Engineer Program - https://www.simplilearn.com/ai-engine... ️️🔥 Michigan - Applied Generative AI Specialization - https://www.simplilearn.com/applied-a..." This Naive Bayes Classifier tutorial video will introduce you to the basic concepts of Naive Bayes classifier, what the Naive Bayes algorithm is and Bayes theorem in general. You will understand conditional probability concepts, where the Naive Bayes classifier is used and how the Naive Bayes algorithm works. By the end of this video, you will also implement the Naive Bayes algorithm for text classification in Python. Dataset Link - https://drive.google.com/drive/folder... The topics covered in this Naive Bayes video are as follows: 00:00 - 01:06 Introduction and Agenda 01:06 - 05:45 What is Naive Bayes? 05:45 - 06:30 Why do we need Naive Bayes? 06:30 - 20:17 Understanding Naive Bayes Classifier 20:17 - 22:36 Advantages of Naive Bayes Classifier 22:36 - 43:45 Demo - Text Classification using Naive Bayes ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4 For a more detailed understanding on Naive Bayes Classifier, do visit: https://bit.ly/2DHxctD You can also go through the Slides here: https://goo.gl/Cw9wqy #NaiveBayesClassifer #NaiveBayes #NaiveBayesAlgorithm #NaiveBayesInMachineLearning #NaiveBayesMachineLearning #NaiveBayesClassiferExample #MachineLearningAlgoithms #MachineLearning #Simplilearn What is Naive Bayes Classifier? Naive Bayes is a supervised learning algorithm that is based on applying Bayes’ theorem with the “naive” assumption. The Bayes Rule gives the formula for the probability of Y given X. It is called Naive because of the naive assumption that the X’s are independent of each other. ➡️ About Data Science Course in collaboration with IBM This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career. ✅ Key Features Simplilearn's JobAssist helps you get noticed by top hiring companies Masterclasses from IBM experts Dedicated live sessions by faculty of industry experts Industry-recognized Data Scientist Master’s certificate from Simplilearn Industry-recognized IBM certifications for IBM courses Ask-Me-Anything (AMA) sessions with IBM leadership Capstone from 3 domains and 25+ projects Exclusive hackathons conducted by IBM Lifetime access to self-paced learning content Program crafted to initiate your journey as a Data Scientist Integrated labs for hands-on learning experience ✅ Skills Covered Generative AI Prompt Engineering ChatGPT Exploratory Data Analysis Descriptive Statistics Inferential Statistics Explainable AI Conversational AI Large Language Models Model Building and Finetuning Ensemble Learning Data Visualization Database Management 👉Learn more at: https://bit.ly/3fouyY0