agconti/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
This project provides a detailed example of how to analyze historical data to predict outcomes using machine learning. It takes raw passenger data from the Titanic disaster and guides you through cleaning, visualizing, and applying predictive models. Aspiring data analysts or data scientists new to Python will find this useful for understanding competitive data analysis workflows.
949 stars. No commits in the last 6 months.
Use this if you are interested in learning fundamental data analysis, visualization, and supervised machine learning techniques using Python for data science competitions.
Not ideal if you are looking for an out-of-the-box solution to directly apply to your own datasets without learning the underlying analytical process.
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Apr 28, 2024
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