October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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The Titanic: Machine Learning from Disaster problem
The dataset for the Titanic consists of the passenger manifest for the doomed trip, along with various features and an indicator variable telling whether the passenger survived the sinking of the ship or not. The essence of the problem is to be able to predict, given a passenger and his/her associated features, whether this passenger survived the sinking of the Titanic or not. The features are as follows.
The data consists of two datasets: one training dataset and one test dataset. The training dataset consists of 891 passenger cases, and the test dataset consists of 491 passenger cases.
The training dataset also consists of 11 variables, of which 10 are features and 1 dependent/indicator ...
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