README.md 1.2 KB
Exploratory Data Analysis
This repository contains the supplementary material to my talk delivered at PyData Delhi MeetUp #23.
Contents
The idea behind the talk was to explain the ideology behind Exploratory Data Analysis and why it is essential for any Data Science project.
The slides can be viewed at http://bit.ly/SuriEDAPyData.
The proposal can be viewed at https://github.com/pydatadelhi/talks/issues/68.
The talk included a lot of content from the following projects:
[Investigating Factors Affecting Wine Quality](): This project investigates a dataset using EDA to find chemical properties that affect red wine quality.
[Identifying Fraud from Enron Email Dataset](): This project includes a section which uses EDA to remove outliers.
Message
The meet-up was a great experience as I got meet some amazing people. I certainly look forward to collaborating on a new project. One of the ideas I have is to explore datasets on different beverages (such as white wine) or maybe some food items.