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: https://www.kaggle.com/code/ryannolan1/titanic-wip-9-12
Titanic Kaggle Part 2: https://youtu.be/KzK1pifa2Vk
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
Scikit-Learn and Machine Learning Playlist: https://www.youtube.com/playlist?list=PLcQVY5V2UY4LNmObS0gqNVyNdVfXnHwu8
Kaggle House Pricing Project: https://youtu.be/UqmulHG4IvY
Voting Classifier: https://youtu.be/PZoeGriONbU
Column Transformer: https://youtu.be/yBLNbeKbFKI
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.
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