Naive Bayes Classifier: A Practical Tutorial with Scikit-Learn

Welcome to our beginner-friendly tutorial on Naive Bayes classification using Scikit-Learn in Python! In this comprehensive guide, we'll walk you through the fundamentals of Naive Bayes, a popular machine learning algorithm, and show you how to implement it with the powerful Scikit-Learn library. Code: https://ryanandmattdatascience.com/sklearn-naive-bayes/ 👨‍💻 Mentorships: https://ryanandmattdatascience.com/mentorship/ 📧 Email: [email protected] 🌐 Website & Blog: https://ryanandmattdatascience.com/ 🖥️ Discord: https://discord.com/invite/F7dxbvHUhg 📚 *Practice SQL & Python Interview Questions: https://stratascratch.com/?via=ryan 📖 *SQL and Python Courses: https://datacamp.pxf.io/XYD7Qg 🍿 WATCH NEXT Scikit-Learn and Machine Learning Playlist: https://www.youtube.com/playlist?list=PLcQVY5V2UY4LNmObS0gqNVyNdVfXnHwu8 Gradient Boosting: https://youtu.be/E2mCaIZNE2g Column Transformer: https://youtu.be/yBLNbeKbFKI Kaggle Titanic Data Science Project: https://youtu.be/KzK1pifa2Vk OTHER SOCIALS: Ryan’s LinkedIn: https://www.linkedin.com/in/ryan-p-nolan/ Matt’s LinkedIn: https://www.linkedin.com/in/matt-payne-ceo/ Twitter/X: https://x.com/RyanMattDS Who is Ryan Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF. Who is Matt Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One. *This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.