Exploratory Data Analysis(EDA) on Automobile Data

 

This video is about Exploratory Data Analysis(EDA) on Automobile Data. This video will explain EDA Steps such as Loading data, showing data profile report before and after cleaning data, variable identification, Cleaning and Standardizing data, Univariavte, and Bi-Variate analysis, etc.

 

This EDA is performed using the following tools and techniques-

 

Programming language - Python 

 

Python Packages- Numpy, Pandas 

 

Python data visualization libraries- Matplotlib, Seaborn

 

IDE- Jupyter Notebook