Feature Scaling | Feature Normalization | Feature Standardization

Get a look at our course on data science and AI here: 👉 https://aicourse.thinkific.com/collections ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The Python Codes are available at this link: 👉 https://www.aisciences.academy/ytube-feature-scaling ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ In this video, we are going to explain what is feature scaling or normalization. We will discuss the following in this video: 🕕 (0:00:05) Introduction 🕕 (0:00:55) Feature Scaling 🕕 (0:03:41) Importance in Machine Learning 🕕 (0:05:11) Methods 🕕 (0:07:06) Implementation ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ AI SCIENCES provides Free tutorials and videos in Data Science, Machine Learning, and AI for beginners like you! Follow AI Sciences! AI Sciences' Website 👉 https://www.aisciences.io AI Sciences' Facebook Page 👉 https://www.facebook.com/aiscienceslearn AI Sciences' LinkedIn Page 👉 https://www.linkedin.com/company/ai-sciences ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 👨👩👧👦 JOIN THE LARGEST DATA SCIENCE and AI FAMILY! Udemy Courses ► https://www.udemy.com/user/ai-sciences/ Paid Books ► amzn.to/2xkvH1L ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 👋 About AI Sciences: AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere. We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars. We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory or lengthy reading. Today, we also publish more complete books on selected topics for a wider audience. Consider subscribing to new videos regularly showing you can be a data engineer, a data scientist, to learn Statistics, or to be a data analyst from scratch.