This project aims to create a classification neural network that predicts whether a person will survive or perish based on the Titanic dataset. Part 1: data manipulation using some common datascience libraries Part 2: implementing a neural network for binary classification using deep learning frameworks TensorFlow and keras.
Dataset includes the following columns: PassengerId - Unique identifier for each passenger Survived - Survival (0 = No, 1 = Yes) Pclass-Ticketclass(1=1st,2=2nd,3=3rd) Name - Name of the passenger Sex - Gender of the passenger Age - Age of the passenger SibSp - Number of siblings/spouses aboard the Titanic Parch - Number 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)
pip install pandas numpy matplotlib scikit-learn tensorflow keras seaborn
python3 code2.py
python3 nn.py