A machine learning model to predict the survived passengers from the titanic disaster.
Libraries used :
Numpy
Pandas
Matplotlib
Sklearn
I will be testing the following models with my training data :
Gaussian Naive Bayes
Logistic Regression
Support Vector Machines
Perceptron
Decision Tree Classifier
Random Forest Classifier
KNN or k-Nearest Neighbors
Stochastic Gradient Descent
Gradient Boosting Classifier
For each model, we set the model, fit it with 80% of our training data, predict for 20% of the training data and check the accuracy.
Lastly a csv file named submission.csv will be created which will contain list of passenger names & whether they survived or not?