Welcome to my data science journey through the Kaggle Titanic - Machine Learning from Disaster Project!
In this video, we'll dive deep into the world of data analysis, feature engineering, and machine learning to predict passenger survival rates on the Titanic.
As Kaggle states: "The competition is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck."
Kaggle Code: www.kaggle.com/code/ryannolan...
Titanic Kaggle Part 2: • Beginner Data Science ...
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: ryannolandata@gmail.com
🌐 Website & Blog: ryannolandata.com/
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👨💻 LinkedIn: / ryan-p-nolan
🐦 Twitter: / ryannolan_
⚙️ GitHub: github.com/RyanNolanData
🖥️ Discord: / discord
📚 *Practice SQL & Python Interview Questions: stratascratch.com/?via=ryan
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 RU-vid 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.
*This is an affiliate program. I may receive a small portion of the final sale at no extra cost to you.
1 авг 2024
