This repository contains code for my talk at PyData Delhi Meetup #23.

Pranav Suri c51414ca9b Update README.md 6 tahun lalu
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README.md

Exploratory Data Analysis

This repository contains the supplementary material to my talk delivered at PyData Delhi MeetUp #23.

Image of Me Presenting

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 talk included a lot of content from the following projects:

  1. Investigating Factors Affecting Wine Quality: This project investigates a dataset using EDA to find chemical properties that affect red wine quality. You can follow this project on my blog as well.

  2. 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 met some amazing people. I certainly look forward to collaborating on new projects. One of the ideas I have is to explore datasets on different beverages (such as white wine) or maybe some food items.

License

MIT License © Pranav Suri