pydatascience

Name	pydatascience JSON
Version	0.0.3 JSON
	download
home_page
Summary	Data Science Functions
upload_time	2023-03-22 07:36:22
maintainer
docs_url	None
author	Tamer Samara
requires_python
license	MIT
keywords	python data science eda data preprocessing data analysis machine learning
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bugtrack_url
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            <meta name = "Keywords" content = "datascience, eda, dataanalysis, data visualization, machinelearning, 
data preprocessing, diagnostic analysis, descriptive analysis"> 

<h1>Data Analysis CheatSheet (everything you might need )</h1>
<p>
The project include modules with functions to summarize and analysis dataset in order 
to understand properties and relationships.
</p>
<h2>DESCRIPTIVE  MODULE</h2>
<h3>Answer the question (What Happen?)</h3>

Includes two modules:
-    pyeda.py<br>
Includes simple eda cheatsheet functions that might be useful in general cases.
- pydatapreprocessing<br> Some functions for data preprocessing that might be useful.



<h2>DIAGNOSTIC MODULE</h2>
<h3>Answer the question (Why did it happen?)</h3>

Module with several statistical analysis functions.



<h2>PREDICTIVE MODULE </h2>
<h3>Answer the question (What is likely to Happen?)</h3>


<h2>PRESCRIPTIVE MODULE</h2> 
<h3>Answer the question (What action should we take?)</h3>


            

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