44,013 views
Within the context of machine learning techniques, this video explains the problems caused by having different scales in the data. To solve this, data scaling, normalization, and standardization techniques are explained using the Scikit-Learn Python library. ???? Xiperia offers business consulting that transforms data into actionable knowledge to achieve your business goals. Learn more at https://www.xiperia.com To cite this educational resource, use the following reference: Gutiérrez-García, JO [Machine Code]. (2021, September 27). Data Scaling, Normalization, and Standardization with Python for Data Science [Video]. YouTube. [Include the video URL here]. ******************************************** To guide your learning, in this link ( • Artificial Intelligence (AI) Course... ) you will find a sequential guide to learn: 1. Basic Programming with Python; 2. Data Management; 3. Data Visualization; 4. Data Analysis; and 5. Machine Learning and Data Science. ********************************************** Video Index: 0:00 Problem 2:09 Context and data 3:54 Graphed data 9:35 Data distribution 11:36 Scaling 14:55 Normalization 17:56 Standardization 22:00 Comparison of methods ⭐ Support Código Máquina by giving a Like, Commenting, Sharing or with a Super Thanks. ⭐ From the co-founder of Código Máquina, natural cosmetics products SINHAKI: https://www.amazon.com.mx/stores/sinH... The code and data of the video are available on GitHub https://github.com/CodigoMaquina/code #CienciaDeDatos #AprendizajeDeMaquina #DataScience #MachineLearning #ScikitLearn #python