Beginner Data Science Portfolio Project Walkthrough (Kaggle Titanic Part 2)

Today we are taking a look at how I was able to improve my Titanic Kaggle score up to a 0.79, which was good enough for the top 9%. I showcase all the code changes and what I would still improve on, if I had more time. I'll be adding notes to the Kaggle Notebook if interested. Kaggle Notebook: https://www.kaggle.com/code/ryannolan1/titanic-voting-classifier-0-78947 Original Video: https://www.youtube.com/watch?v=6IGx7ZZdS74&t=2s&ab_channel=RyanNolanData Score: 0.78947 Rank: 1279/14831 Code: 🚀 Hire me for Data Work: https://ryanandmattdatascience.com/data-freelancing/ 👨‍💻 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 Voting Classifier: https://youtu.be/PZoeGriONbU Feature Scaling: https://youtu.be/6eJHk8JYK2M PCA: https://youtu.be/6uwa9EkUqpg 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.