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weather-ml

Using Amazon Machine Learning to Predict the Weather: An experiment.

For a walkthrough of how to perform the analysis, and some results, see my blog post at http://arnesund.com/2015/05/31/using-amazon-machine-learning-to-predict-the-weather/

Prerequisites

  • API key from wunderground.com
  • Amazon AWS account

How to generate the dataset to use for Machine Learning

  1. Ensure API key is in environment with "export WUNDERGROUND_APIKEY=..."
  2. Edit the list of cities in generate_dataset.py if you'd like
  3. Run ./generate_dataset.py without arguments
  4. Upload data/dataset.csv and data/testset.csv to Amazon S3
  • Use dataset.csv to create a ML model at Amazon Machine Learning
  • Use testset.csv as the input for batch prediction on the new ML model

The dataset generator logs output to screen and a logfile under "logs".

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Experiment with Machine Learning on weather datasets

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