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  Everything you need to know about Min-Max normalization: A Python tutorial In this post I explain what Min-Max scaling is, when to use it and how to implement it in Python using scikit-learn but also manually from scratch . Serafeim Loukas May 28, 2020 · 5 min read Figure created by the author in Python. Introduction This is my second post about the normalization techniques that are often used prior to machine learning (ML) model fitting. In my first post , I covered the Standardization technique using scikit-learn’s StandardScaler function. If you are not familiar with the standardization technique, you can learn the essentials in only 3 min by clicking here . In the present post, I will explain the second most famous normalization method i.e. Min-Max Scaling using scikit-learn (function name: MinMaxScaler ). Core of the method Another way to normalize the input features/variables (apart from the standardization that scales the features so that they have μ=0 and σ=1 ) ...

  Sign in Get started Follow 606K Followers · Editors' Picks Features Deep Dives Grow Contribute About You have 2 free member-only stories left this month. Sign up for Medium and get an extra one Everything you need to know about Min-Max normalization: A Python tutorial In this post I explain what Min-Max scaling is, when to use it and how to implement it in Python using scikit-learn but also manually from scratch . Serafeim Loukas May 28, 2020 · 5 min read Figure created by the author in Python. Introduction This is my second post about the normalization techniques that are often used prior to machine learning (ML) model fitting. In my first post , I covered the Standardization technique using scikit-learn’s StandardScaler function. If you are not familiar with the standardization technique, you can learn the essentials in only 3 min by clicking here . In the present post, I will explain the second most famous normalization method i.e. Min-Max Scaling using scikit-learn (f...