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+---
+title: Exploratory Data Analysis
+author: neomatrix369
+description: The purpose of this guide is to talk about exploratory data analysis and the different steps you need to do on your dataset to get a better insight about the Machine Learning models you are about to create.
+---
+
+# What you will learn 
+.
+.
+.
+
+# Index
+- [How to use this guide?](#How-to-use-this-guide)
+- [The end-to-end process](#The-end-to-end-process)
+- [Research or business questions](#Research-or-business-questions)
+- [Start Small](#Start-small)
+- [Small steps](#Small-steps)
+- [The Toolkit and sources](#The-Toolkit-and-sources)
+- [Exploratory Data Analysis](#Exploratory-Data-Analysis)
+- [Vizualisation](#Vizualisation)
+- [Sanity Check](#Sanity-Check)
+  - [Ethics](#Ethics)
+  - [Interpretability / Explainability](#interpretability--explainability)
+- [Automate The Boring Stuff!](#Automate-the-boring-stuff)
+- [Resources](#Resources)
+- [Conclusions](#Conclusions)
+
+**Let's Start!**
+
+### How to use this guide?
+.
+.
+.
+
+[Back to the index](#index)
+
+### The end-to-end process
+
+.
+.
+.
+
+[Back to the index](#index)
+
+### Research or business questions
+
+.
+.
+.
+
+[Back to the index](#index)
+
+### Start Small
+
+.
+.
+.
+
+[Back to the index](#index)
+
+### Small steps
+
+.
+.
+.
+
+[Back to the index](#index)
+
+### The Toolkit and sources
+
+.
+.
+.
+
+[Back to the index](#index)
+
+
+### Exploratory Data Analysis
+
+.
+.
+.
+
+[Back to the index](#index)
+
+### Visualization
+
+.
+.
+.
+
+[Back to the index](#index)
+
+### Sanity Check
+
+.
+.
+.
+
+
+#### Ethics
+
+.
+.
+.
+
+#### Interpretability / Explainability
+
+.
+.
+.
+
+
+[Back to the index](#index)
+
+### Automate The Boring Stuff!
+
+.
+.
+.
+
+
+[Back to the index](#index)
+
+### Resources
+
+.
+.
+.
+
+
+[Back to the index](#index)
+
+### Conclusions
+
+.
+.
+.
+
+[Back to the index](#index)
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