- Project is inspired by:
- Kaggale training Titanic: Machine Learning from Disaster?
- Tutorial by Trevor Stephens available here
- In this project we must predict the fate of the passengers aboard the RMS Titanic, which famously sank in the Atlantic ocean during its maiden voyage from the UK to New York City after colliding with an iceberg.
Learning from Titanic Disaster? (Kaggle)
Developing Data Products - Coursera
Vimal Kumar M
Student
Introduction
How many passengers were there in RMS Titanic?
| Class | Number of Passengers |
|---|---|
| First | 325 |
| Second | 285 |
| Third | 706 |
| Crew | 885 |
-Servivers vs Not Servivers
| Servived? | Number of Passengers |
|---|---|
| Servived | 711 |
| Not Servived | 1490 |
Does your chances of Serivival increased if you were 1st class?
| Servived? | 1st Class | 2nd Class | 3rd Class | Crew |
|---|---|---|---|---|
| Servived | 203 | 118 | 178 | 212 |
| Not Servived | 122 | 167 | 528 | 673 |
| total | 325 | 285 | 706 | 885 |
- So Rate of Servival of 1st class Vs 3rd Class is
- First Class 62.4615385%
- Third Class 25.2124646%
From the above result it is clearly evident that first class passenger had more chances winning than third calss passenger.
Hope you would like to travel in first class :)