https://github.com/rohankumawat/titanic-dataset
Reopsitory of Titanic Dataset.
https://github.com/rohankumawat/titanic-dataset
Last synced: about 2 months ago
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Reopsitory of Titanic Dataset.
- Host: GitHub
- URL: https://github.com/rohankumawat/titanic-dataset
- Owner: rohankumawat
- Created: 2020-05-25T17:18:37.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-05-25T17:30:19.000Z (almost 5 years ago)
- Last Synced: 2025-01-17T08:30:39.642Z (3 months ago)
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/dazzpool/first-prediction-notebook
- Size: 142 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Titanic-Dataset
### The Challenge
The sinking of the Titanic is one of the most infamous shipwrecks in history.
On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew.
While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.
In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
### Goal
It is your job to predict if a passenger survived the sinking of the Titanic or not.
For each in the test set, you must predict a 0 or 1 value for the variable.
### Metric
Your score is the percentage of passengers you correctly predict. This is known as accuracy.
Submission File Format
You should submit a csv file with exactly 418 entries plus a header row. Your submission will show an error if you have extra columns (beyond PassengerId and Survived) or rows.
The file should have exactly 2 columns:
* PassengerId (sorted in any order)
* Survived (contains your binary predictions: 1 for survived, 0 for deceased)
```
PassengerId ,Survived
892,0
893,1
894,0
Etc.
```