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Whether you're a beginner or looking to refresh your knowledge, this machine learning tutorial has got you covered. We'll take you step by step through the concept of Logistic Regression, its mathematical foundation, and its practical applications. After we take a look at how you can use scikit-learn to code the logistic regression and evaluate the model. Code: 👨💻 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 Machi... Extra Trees Classifier: • Extra Trees Classifier in Scikit-Lear... KNN Classifier: • How to Build Your First KNN Python Mo... Support Vector Machine: • Mastering Support Vector Machines wit... 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.