Machine Learning in Python, Naive Bayes Classifier with Basic Libraries In this Machine Learning Tutorial With Python, I am going to implement the Naive Bayes algorithm from scratch. I will walk you through the concept of this popular machine learning (ML) algorithm, explain the math behind it using an example, and implement my own naive bayes class from scratch. Then I compare its accuracy vs. that of SciKit-Learn and verify that they are exactly the same 🙂 ⏱️⏱️Video Chapters⏱️⏱️ 0:00 Introdcution 0:47 Naive Bayse algorithm 12:30 Naive Bayes with Python sklearn 18:03 Naive Bayes from scratch ✅Subscribe to our Channel to learn more: https://www.youtube.com/@CodingBuddiesGuild/featured ⏩ Check out More AI Videos By CodingBuddiesGuild: https://www.youtube.com/watch?v=FzYAWgS6jts&list=PLWvf9kHwuTMTXtwGbu8dABlFXswiaChnf ⏩ Check out More Machine Learning Techniques and Algorithms By CodingBuddiesGuild: https://www.youtube.com/watch?v=q5eEbCXWLDA&list=PLWvf9kHwuTMQh7V4X21UPztV44WIRiTXl #naivebayes,#gaussian , #supervisedlearning , #machinelearningpython, #machinelearning, #machinelearningalgorithm, #python, #clustering , #regression, #regressionanalysis, #scikit #scikitlearn, #pythonlibraries, #sklearn, #matplotlib, #machinelearningpython, #machinelearningtutorial , #pythontutorial , #machinelearningtutorialforbeginners, #machinelearningfullcourse, #machinelearningproject , #datascience, #advancedpython, #datascienceproject , #artificialintelligence, #datasciencetutorial, #pythonprogramming , #introductiontomachinelearning , #codingbuddiesguild