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GitHub topics: titanic-problem

ashishpatel26/Titanic-Machine-Learning-from-Disaster

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 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics

Language: Jupyter Notebook - Size: 224 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 88 - Forks: 83

TanoojSeelam/Titanic-ML-Kaggle

Kaggle Competition Question

Language: Jupyter Notebook - Size: 307 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

amberkakkar01/Titanic-Survival-Prediction

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

Language: Jupyter Notebook - Size: 108 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 11

DanielGunna/Titanic-Machine-Learning

Applying Machine Learning Algorithms to the Kaggle "Titanic Survival Prediction Problem".

Language: Python - Size: 73.2 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 9 - Forks: 3

5x/ds-titanic-problem

Solve simple data science problem, finding most freq names.

Language: Python - Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0