The model predicts if a passenger would survive sinking Titanic or not taken into consideration the different parameters in the dataset. Prediction model is built with neural networks using Keras,Tensorflow and Scikit-learn.
The neural network has 3 hidden layers with relu and sigmoid activation functions. The optimizer used is RMSprop and has a learning rate of 0.01. The model is run with 40 epochs and a batch size of 5. The model achieved around 80% accuracy .
The dataset is taken from: https://www.kaggle.com/c/titanic/data