My attempt at the Titanic Kaggle Challenge. Source of the Titanic Kaggle Challenge: <https://www.kaggle.com/c/titanic/overview>.
-
Updated
Apr 12, 2021
#
titanic-kaggle-challenge
Here are 3 public repositories matching this topic...
In this challenge, we'll build a predictive model that answers the question: “what sorts of people were more likely to survive to the Titanic tragedy?” using passenger data (name, age, gender, socio-economic class, etc).
titanic-kaggle titanic-survival-prediction titanic-data titanic-data-analytics titanickaggle titanic-competition titanic-kaggle-challenge
-
Updated
Jul 16, 2024 - Jupyter Notebook
A high-performance Python framework to generate and validate 100,000 synthetic passenger records across 31 features for modern tabular ML benchmarks, risk modeling, and binary classification.
python3 dataset-generation titanic-survival titanic-survival-prediction kaggle-dataset numpy-arrays synthetic-data pandas-python data-scientist titanic-machine-learning titanic-kaggle-challenge
-
Updated
Aug 20, 2026 - Python
Add this topic to your repo
To associate your repository with the titanic-kaggle-challenge topic, visit your repo's landing page and select "manage topics."