My.Video2.mp4
On April 15, 1912, the widely considered "The Unsinkerable" RMS Titanic sank after it hit an iceberg. The unfortunate incident claimed the lives of 1502 out of 2224 passangers and crew members on board.
It is also an unfortunate coincidence that, at the time of the horrific accident, the RMS Titanic ship did not have enough lifeboats to accomodate everyone on board.
while some people 'miraclously' survived, there seeems to be some pattern of people who survived.
This is a predictive machine learning project that tries to predict the survivability of a person on board the titanic. We want to find out what characters of people were likely to survive the incident
The Titanic data folder contains 3 files
- Training set
- Test set
- Model evaluation file
It contains 891 rows and 12 columns
Missing Values insights In the train data columns with missing values are:
Age : 177 values Cabin : 678 Values Embarked : 2 Values
In the test data columns with missing values are: Age : 86 values Cabin : 327 Values