Description:

A library which can perform generic Exploratory Data Analysis (EDA) on any dataset on its own with minimum trigger can help in improving overall efficiency of a pipeline and provide quick sight analytics. Although there are few libraries available which automatically creates the basic visualizations and data plots to provide a generic insight on the data distribution, but what is lacking is the availability of a tool which can take smart decisions on the attributes and row values, and can identify any preprocessing requirements and what type of insights can be created for the user.

Prerequisites:

1. Understanding of core python
2. Understanding of numpy datastructures
3. Basic data analysis knowledge

Video URL:

https://drive.google.com/file/d/1YOd69SPWxTBhJW0iBJIXJO1Ed8mvIjB0/view?usp=share_link

Speaker Info:

My name is Sumit Rana. I am currently working as a Senior Software developer at BNI. Although I spent most of my time exploring new technologies I love exploring new places and taking unplanned trips.

Speaker Links:

https://www.linkedin.com/in/sumit-rana-a78b1284/ https://github.com/SumitRana