On 15 April, 1912 Titanic met with an unfortunate event - it collided with an iceberg and sank. The ship was carrying 2224 people and that tragic accident costed the life of 1502 passengers.
In this tutorial we will be predicting which passengers survived the accident and which couldn't from different features like age, sex, class, etc. This problem is hosted by Kaggle as a challenge and data can be found here: Titanic: Machine Learning from Disaster. You will have to create a Kaggle account and accept the rules to download the data.
Work on this project directly in-browser via Google Colaboratory. The link above is a starter template that you can save to your own Google Drive and work on. Google Colab is a free tool that lets you run small Machine Learning projects through your web browser. You should read this 1 min tutorial if you're unfamiliar with Google Colaboratory. Note that, for this project, you'll have to upload the dataset linked below to Google Colab after saving the notebook to your own system.