Naive Bayes Classifier: A Practical Tutorial with Scikit-Learn скачать в хорошем качестве

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/sk... 👨‍💻 Mentorships: https://ryanandmattdatascience.com/me... 📧 Email: [email protected] 🌐 Website & Blog: https://ryanandmattdatascience.com/ 🖥️ Discord:   / discord   📚 *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:    • Scikit-Learn Tutorials - Master Machine Le...   Gradient Boosting:    • Gradient Boosting in Scikit-Learn: Hands-O...   Column Transformer:    • Simplify Data Preprocessing with Python's ...   Kaggle Titanic Data Science Project:    • Beginner Data Science Portfolio Project Wa...   OTHER SOCIALS: Ryan’s LinkedIn:   / ryan-p-nolan   Matt’s LinkedIn:   / 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.