TagFeature Engineering

How to manipulate an enormous Data Set

Data Preparation is the core of data science and it is crucial for any data analysis. It involves data cleansing and feature engineering. Usually, this takes 60 to 80 percent of the whole analytical pipeline. However, it is a mandatory task in order to get the best accuracy from machine learning algorithms on your data-sets [1]. The first part of this process is the Data Cleansing is the process...

Disclaimer: The present content may not be used for training artificial intelligence or machine learning algorithms. All other uses, including search, entertainment, and commercial use, are permitted.