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Solution for the Kaggle titanic challenge with Spark, Scala and machine learning

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This is an example of using the Spark-ml library to solve the Titanic challenge on Kaggle.

I obtained a public score of 0.79426 on Kaggle with the current setup.

Using Zeppelin

You can start Zeppelin with docker-compose to explore the data with a titanic notebook already created.

docker-compose up -d

References:

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Solution for the Kaggle titanic challenge with Spark, Scala and machine learning

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