🧠 Don’t miss out! Get FREE access to my Skool community — packed with resources, tools, and support to help you with Data, Machine Learning, and AI Automations! 📈 Today we take a look at how we can apply feature scaling to data sets within scikit-learn in python. This is useful when applying Normalization or standardization to data which allows for machine learning models to perform better. Dataset is available on my Github Code: 🚀 Hire me for Data Work: 👨‍💻 Mentorships: 📧 Email: ryannolandata@ 🌐 Website & Blog: 🖥️ Discord: 📚 *Practice SQL & Python Interview Questions: 📖 *SQL and Python Courses: 🍿 WATCH NEXT Scikit-Learn and Machine Learning Playlist: Cross Validation: Train Test Split: Logistic Regression: OTHER SOCIALS: Ryan’s LinkedIn: Matt’s LinkedIn: Twitter/X: 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 , 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.