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

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Praneet Rane

I am a Software developer having 8 years of experience and specialized in Web and Windows, Windows Smart devices platforms. Experienced with all stages of development cycle for dynamic Web projects. Well-versed with technologies and have strong background in Software development and worked with offshore teams and clients.