In this beginner-friendly data science tutorial, we'll dive into the fascinating world of fintech, specifically exploring how to create a Streamlit app based on a real-world example from a financial technology giant, PayPal.
The primary objective is to demonstrate how data science and Python programming can be leveraged to develop a Streamlit app, which is an excellent tool for building interactive and user-friendly data applications. We'll guide you through the entire process, breaking down complex concepts into easy-to-understand steps.
GitHub Repository: https://github.com/RyanNolanData/Tran...
Streamlit App Demo Link: https://transaction-monitoring-5vl8sw...
Interested in discussing a Data or AI project? Feel free to reach out via email or simply complete the contact form on my website.
📧 Email: [email protected]
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WHO AM I?
As a full-time data analyst/scientist at a fintech company specializing in combating fraud within underwriting and risk, I've transitioned from my background in Electrical Engineering to pursue my true passion: data. In this dynamic field, I've discovered a profound interest in leveraging data analytics to address complex challenges in the financial sector.
This YouTube channel serves as both a platform for sharing knowledge and a personal journey of continuous learning. With a commitment to growth, I aim to expand my skill set by publishing 2 to 3 new videos each week, delving into various aspects of data analytics/science and Artificial Intelligence. Join me on this exciting journey as we explore the endless possibilities of data together.
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