Entry for the Titanic: Machine Learning from Disaster competition on Kaggle.
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Updated
Sep 21, 2020 - R
Entry for the Titanic: Machine Learning from Disaster competition on Kaggle.
Kaggle Titanic Data Set Using Logit Model
This analysis is about predicting the survival of a person onboard Titanic
My code (in R), submission files, and saved data for the challenge to predict if a person survived in the titanic or not (from the given data) in Kaggle. Read the README file for more details.
This web application provides a multivariate analysis related to Titanic passengers.
Titanic - Machine Learning from Disaster is the beginner challenge for novices they start here for predicting survival on the Titanic and get familiar with ML basics.
Repository for the Titanic Kaggle competition
Exploración, transformación y análisis del Dataset Titanic con R
Predict survival on the Titanic and get familiar with ML basics. Using steps in https://www.kaggle.com/mrisdal/exploring-survival-on-the-titanic and data from https://www.kaggle.com/c/titanic
Add a description, image, and links to the titanic topic page so that developers can more easily learn about it.
To associate your repository with the titanic topic, visit your repo's landing page and select "manage topics."