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Implement Titanic Survival Prediction model #14

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24 changes: 24 additions & 0 deletions ML_simple_project/Titanic_servival_prediction/README.md
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# Titanic Survival Prediction

## Problem statement
To train a 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).

## Structure of the dataset
The dataset is gathered from Kaggle.

Data Dictionary
- Variable - Definition Key
- survival - Survival 0 = No, 1 = Yes
- pclass - Ticket class 1 = 1st, 2 = 2nd, 3 = 3rd
- sex - Gender
- Age - Age in years
- sibsp - # of siblings / spouses aboard the Titanic
- parch - # of parents / children aboard the Titanic
- ticket - Ticket number
- fare - Passenger fare
- cabin - Cabin number
- embarked - Port of Embarkation (C = Cherbourg, Q = Queenstown, S = Southampton)


## Creator
- [Yasas](https://github.com/yasas4d)
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