Titanic Competition on Kaggle
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Updated
Jun 29, 2015 - MATLAB
Titanic Competition on Kaggle
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
Training models with Apache Spark, PySpark for Titanic Kaggle competition
Data Analysis on 3 datasets from Kaggle: 1) Titanic Passanger Survival, 2) Celebrity Deaths, 3) Bank Data on FD Buying
Kaggle Titanic Competition, Public Score : 0.80383
Predicting survival on the Titanic using machine learning
⚓ 🎯 Kaggle titanic dataset exploration
Repository for the Titanic Kaggle competition
Analysis of what sorts of people were likely to survive the titanic disaster.
The Kaggle Titanic Problem
An insight to analyzing Titanic survival using decision trees and ensemble methods
Kaggle-titanic
Predict survival on the Titanic and get familiar with ML basics. Using steps in https://www.kaggle.com/mrisdal/exploring-survival-on-the-titanic and data from https://www.kaggle.com/c/titanic
Kaggle.com is a website that hosts competitions on data analytics and prediction. It provides the data source and competitors are asked to submit their solution. This repo contains the source code for one such competition, namely, "Titanic: Machine Learning from Disaster"
Python based Titanic Challenge Solution for
Analysis of Survival Data of RMS Titanic to find factors that made passengers more likely to survive.
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