Logistic Regression Assignment - agastya2002/IECSE-ML-Winter-2020 GitHub Wiki

Deadline 7 Feb 2021

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 on board, 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 than others.

In this assignment, we ask you 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).

Here is the link to datasets and starter code

Titanic Dataset and Starter Code

NOTE: To have a good grip on Logistic Regression we recommend that you watch the 3rd video by Andrew Ng