Introduction

Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic dimension. Working in high-dimensional spaces can...

What is Normalization?# Feature Scaling is an essential step prior to modeling while solving prediction problems in Data Science. Machine Learning algorithms work well with the data that belongs to a smaller and standard scale. This is when Normalization comes into picture. Normalization techniques enables us to reduce...

R is one of the most popular programming languages in the field of data science and machine learning. As it has numerous packages related to Data ingestion, data processing, data visualization, report creation, machine learning etc. through which data scientists and researchers can take advantage of their projects. Up...