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Predicting survival on Titanic using Data Science

In this challenge, we will complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.
4.64.6

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What will you learn

  • Numpy
  • Matplotlib
  • Pandas
  • Data Types in Python
  • Conditional concepts in Python
  • Looping in Python

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Project Description

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history.  On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.

Instructors

 
Dushyant

Advanced Analytics SME

"He is currently associated with International Store Analytics lab. He is a seasoned Data Science professional with a Master's Degree in Predictive Modeling and 4+ years of experience in building and deploying end-to-end Machine Learning models"