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Author: vsmolyakov

LICENSE.txt

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+Copyright (c) 2014, Vadim Smolyakov
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# kaggle
+Kaggle Competitions
+
+### Description
+
+**Titanic**
+
+In the titanic competition you are given a task of predicting the probability of survival based on the training data that includes age, gender, ticket price, passenger class etc...
+
+<p align="center">
+<img src="https://github.com/vsmolyakov/kaggle/blob/master/figures/random_forrest.png" />
+</p>
+
+The figure above shows the random forrest classifier trained on a subset of data supervised by the survival signal in the training set. In comparison to SVM, logistic regression and K-NN classifier, random forrest with 100 trees produced highest training accuracy.
+
+References:  
+*https://www.kaggle.com/c/titanic*  
+
+ 
+### Dependencies
+
+Python 2.7