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Showing posts from May, 2020

Learn to Survive with Titanic Dataset

In this tutorial, we will learn about one of the most popular datasets in data science. It will give you idea about how to analyze and relate with real conditions. The Challenge The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive compared to others. In this challenge, we will need to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc). This post will help you start with data science and familiarize yourself with Machine Learning. The competition is simple: use machi