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Using a TensorFlow LinearClassifier for the Titanic survival prediction (Getting started challenge on Kaggle)

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TensorFlow for the Kaggle Titanic challenge

From the Kaggle getting started challenge Titanic: Machine Learning from Disaster

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. [...] In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.

Getting Started

See the Tensorflow installation instructions.

TLDR for macOS:

conda create -n tensorflow pip python=3.6
source activate tensorflow
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.5.0-py3-none-any.whl
pip install jupyter notebook pandas sklearn scipy
jupyter notebook

Before committing, restart the kernel and run all in Jupyter.

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Using a TensorFlow LinearClassifier for the Titanic survival prediction (Getting started challenge on Kaggle)

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