cahn1 / 505-titanic-survival-classifier

Materials for Lesson 11: Decision Trees, Pipelines, and Gridsearch (5/11)

Titanic Survival Classifier

View deployed app on Heroku: https://titanic-survival-classifier.herokuapp.com/

This repo is a template for capstone presentations of machine learning. Though simple, it has several important features that should be imitated in any capstone:

• A cleaned dataset with a clearly defined problem and target variable.
• A machine learning algorithm that has been trained on a portion of the data, and tested on a set-aside portion.
• Evaluation metrics showing the performance of the model on the testing data.
• Individual results of the testing dataset, for further analysis of incorrect predictions.
• A feature whereby the model receives new user inputs and makes predictions based on the new data.
• An interactive user-interface deployed on a cloud platform and accessible to potential reviewers.

Source: https://www.kaggle.com/c/titanic