Channel: DataCamp

Category: Science & Technology

Tags: coding tutorialcodingpythonscalingdata sciencepython basicspython tutorialtutorialcenteringmachine learning

Description: This Python tutorial for beginners will quickly walk you through two data pre-processing techniques for machine learning: Centering and Scaling. When applying machine learning to extract predictions from datasets, the most commonly used pre-processing techniques are centering and scaling. Centering and scaling are essential for model types that assume each feature comes from a standard normal distribution. The topics covered in this video are: 00:00 - 00:58 What is data preprocessing? 00:59 - 01:37 What are centering and scaling? 01:38 - 03:33 When should you use centering and scaling? 03:34 - 08:13 Importing the diamonds dataset 08:14 - 09:34 Running a KNN-model without scaling 09:35 - 14:05 Running a KNN model with scaling [Try it yourself!] Pre-prepared workspace: bit.ly/3KODnc7 Read our cheat sheets! - datacamp.com/cheat-sheet Instagram: instagram.com/datacamp Twitter: twitter.com/DataCamp Facebook: facebook.com/datacampinc Youtube: youtube.com/channel/UC79Gv3mYp6zKiSwYemEik9A LinkedIn: linkedin.com/school/datacampinc Website: datacamp.com