Hands-On Machine Learning: Logistic Regression with Python and Scikit-Learn

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/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 Extra Trees Classifier: https://youtu.be/S2e70seVw3k KNN Classifier: https://youtu.be/Nz73vXn5afE Support Vector Machine: https://youtu.be/kPkwf1x7zpU 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.