R exercises (2016)
-
Updated
Oct 15, 2017 - R
R exercises (2016)
🚢 Entry for titanic Kraggle Constest
Machine Learning competition on Kaggle.org: Random Forest algorithm and ensemble of algorithms to predict Titanic survivors. Top 8% rank
Titanic - Machine learning from disaster competition in Kaggle
A machine learning powered analysis of the famous Titanic data set.
Titanic-Survival-Prediction
kaggle titanic competition. Using Logistic Regression
Predicting the survival of passengers on RMS Titanic using information about the passengers.
This repository has data cleansing, data visualization and data analysis using various libraries of R.
This analysis is about predicting the survival of a person onboard Titanic
This was my first Kaggle competition. The goal was to predict if someone survived the shipwreck or not.
Reference for "Don't get lost in a forest" post: a guide to tree based modeling in R
Repository for Analysis of the Titanic problem on Kaggle.com
One of the basic machine learning problem to predict the survival of passengers on Titanic
Add a description, image, and links to the titanic-kaggle topic page so that developers can more easily learn about it.
To associate your repository with the titanic-kaggle topic, visit your repo's landing page and select "manage topics."