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7 Steps to Mastering Data Preparation for Machine Learning with Python
Author: Matthew Mayo, KDNuggets
Source: https://www.kdnuggets.com/2019/06/7-steps-mastering-data-preparation-python.html
How: Pandas library, Python, EDA (Exploratory Data Analysis)
When to use this: when preparing data for machine learning
Why it's helpful: Step-by-step reference with supporting links, as well as an introduction for those in IT or data sciences but not as involved in the data preparation process
Suggested application: Refresher for those involved in data wrangling, this article was updated from the 2017 version to incorporate updated library references, related articles and insights from real world practice
Business impact or insights to be gained: Developments in Machine Learning and resources available to support data wrangling work hand in hand to improve the outcomes by better preparing the inputs
As a data specialist, expectations are high. Data scientists are perceived as essentially magicians, who can wrangle data, whip up an algorithm and pull a result out of their hat. On demand.