What is Not Feature Engineering?

What is Not Feature Engineering? 1.Initial data collection to be feature engineering. 2.Creating the target variable to be feature engineering. 3.Removing duplicates, handling missing values, or fixing mislabeled classes to be feature engineering ( data cleaning). 4.Scaling or normalization to be feature engineering because these steps belong inside the cross-validation loop (i.e. after you’ve already

Share this :

PYTHON FOR DATA SCIENCE : LEARN IN 3 DAYS

https://www.listendata.com/2017/05/python-data-science.html This tutorial helps you to learn Data Science with Python with examples. Python is an open source language and it is widely used as a high-level programming language for general-purpose programming. It has gained high popularity in data science world. As data science domain is rising these days, IBM recently predicted demand for data

Share this :

How do I learn Python in 5 days?

https://www.quora.com/How-do-I-learn-Python-in-5-days As we know 5 days is too short, but it can be enough to consume a dense learning material such as an online video course. There are quite a few out there. Many will just teach you scattered Python concepts which are very difficult for a beginner to put them together for building a

Share this :