In this video, we take a look at an Exploratory Data Analysis (EDA) portfolio project within Python Pandas. Everything is coded within Jupyter Notebook and the data is sourced from Kaggle.
Python Libraries needed: Pandas, Seaborn
Kaggle Data: https://www.kaggle.com/datasets/aiaiaidavid/the-big-dataset-of-ultra-marathon-running/discussion/420633
Code:
👨💻 Mentorships: https://ryanandmattdatascience.com/mentorship/
📧 Email:
[email protected]
🌐 Website & Blog: https://ryanandmattdatascience.com/
🖥️ Discord: https://discord.com/invite/F7dxbvHUhg
📚 *Practice SQL & Python Interview Questions: https://stratascratch.com/?via=ryan
📖 *SQL and Python Courses: https://datacamp.pxf.io/XYD7Qg
🍿 WATCH NEXT
Python Pandas Playlist: https://www.youtube.com/playlist?list=PLcQVY5V2UY4KvHRJ-awaxAPzFGdZ8yN6D
Python Data Cleaning:
https://youtu.be/iaZQF8SLHJs
Python Pandas Groupby:
https://youtu.be/L5kf4sQnVhI
Python Pandas Melt:
https://youtu.be/XsYT6TD8nJc
OTHER SOCIALS:
Ryan’s LinkedIn: https://www.linkedin.com/in/ryan-p-nolan/
Matt’s LinkedIn: https://www.linkedin.com/in/matt-payne-ceo/
Twitter/X: https://x.com/RyanMattDS
Who is Ryan
Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF.
Who is Matt
Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One.
*This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.