Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 150…

Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.

Udacity Machine Learning Nano degree Program Project Predicting Passenger Survival

Titanic Survival prediction: Titanic dataset- how many people survive and how many were Male and Female

Some useful examples of Deep Learning (.ipynb)

Surviving the Titanic step-by-step with groups

Titanic Survival Prediction using Logistic Regression

🚢 Association and Pattern Recognition Algorithms on data from Titanic survivors.

Investigate Titanic Dataset Using iPython Notebook, Pandas, Matplotlib, and Seaborn

A web app that predicts passenger survival on the Titanic using machine learning algorithms

Solution to the titanic machine learning competition on kaggle

Titanic Survival Exploration & Prediction - 1st project for Udacity's Machine Learning Nanodegree

Visualization of the Titanic DataSet

This short project take the Titanic Survival Data Set and Analyze it.

Maximum entropy (MaxEnt) classifier

Kaggle Competition - Titanic: Machine Learning from Disaster (Top 8%)

This repo guides you to to build predictive models of Titanic survival, including data-viz & pre-processing, feature analysis, building predictive models and performance evaluation.

Contains project work for Udacity's Data Analyst Nanodegree from the September 2017 cohort

🚢 Titanic survival outcomes using various classification. It includes comprehensive approach to data preprocessing, training, and evaluation.