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Python Feature Scaling in SciKit-Learn (Normalization vs Standardization)

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 Interested in discussing a Data or AI project? Feel free to reach out via email or simply complete the contact form on my website. 📧 Email: [email protected] 🌐 Website & Blog: https://ryannolandata.com/ 🍿 WATCH NEXT Scikit-Learn and Machine Learning Playlist:    • Scikit-Learn Tutorials - Master Machi...   Cross Validation:    • A Comprehensive Guide to Cross-Valida...   Train Test Split:    • Train Test Split with Python Machine ...   Logistic Regression:    • Hands-On Machine Learning: Logistic R...   MY OTHER SOCIALS: 👨‍💻 LinkedIn:   / ryan-p-nolan   🐦 Twitter:   / ryannolan_   ⚙️ GitHub: https://github.com/RyanNolanData 🖥️ Discord:   / discord   📚 *Data and AI Courses: https://datacamp.pxf.io/XYD7Qg 📚 *Practice SQL & Python Interview Questions: https://stratascratch.com/?via=ryan WHO AM I? As a full-time data analyst/scientist at a fintech company specializing in combating fraud within underwriting and risk, I've transitioned from my background in Electrical Engineering to pursue my true passion: data. In this dynamic field, I've discovered a profound interest in leveraging data analytics to address complex challenges in the financial sector. This YouTube channel serves as both a platform for sharing knowledge and a personal journey of continuous learning. With a commitment to growth, I aim to expand my skill set by publishing 2 to 3 new videos each week, delving into various aspects of data analytics/science and Artificial Intelligence. Join me on this exciting journey as we explore the endless possibilities of data together. *This is an affiliate program. I may receive a small portion of the final sale at no extra cost to you.