Soham's EDA Portfolio

Hello! My name is Soham Vhadadi, and I am currently a 4th-semester student in the Department of Computer Science and Engineering at KLE Technological University, Dr. M. S. Sheshgiri Campus. This portfolio is dedicated to the Exploratory Data Analysis (EDA) Course Project, designed to showcase the comprehensive knowledge and practical skills I've acquired over the term. Additionally, this portfolio reflects my learning journey, highlighting the critical thinking and problem-solving skills developed during the course.

The portfolio is organized into a series of tabs, each dedicated to a specific learning target, unit, or major area of focus. This structure ensures a clear presentation of my work, providing insights into the methodologies used, the analytical processes undertaken, and the key takeaways from the course. Each tab highlights different aspects of my skills and knowledge in Exploratory Data Analysis.

About the Course:

This course helped me learn how to perform EDA in Python. Using external Python packages like Pandas, Numpy, Matplotlib, and Seaborn, I learned univariate and bivariate analyses, correlation analysis, and handled duplicate or missing data. The project has equipped me with practical skills for exploring and visualizing tabular datasets, which I continue to apply in my current work.

Importance of EDA:

The Exploratory Data Analysis (EDA) course project was vital in equipping me with practical skills to understand and interpret data sets. Through hands-on experience, I developed the ability to uncover patterns, identify anomalies, and extract meaningful insights, essential for informed decision-making in various fields. Additionally, EDA projects fostered critical thinking and problem-solving abilities, enabling us to approach complex data challenges with confidence and creativity. Ultimately, this foundational knowledge is indispensable for anyone pursuing a career in data science or related disciplines.

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