Quick and Dirty Data Analysis for your Machine Learning Problem
Last Updated on August 22, 2019
A part of having a good understanding of the machine learning problem that you’re working on, you need to know the data intimately.
I personally find this step onerous sometimes and just want to get on with defining my test harness, but I know it always flushes out interested ideas and assumptions to test. As such, I use a step-by-step process to capture a minimum number of observations about the actual dataset before moving on from this step in the process of applied machine learning.
Quick and Dirty Data Analysis
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In this post you will discover my quick and easy process to analyse a dataset and get a minimum set of observations (and a minimum understanding) from a given dataset.
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Data Analysis
The objective
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