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