François Chollet on Twitter: "What's a good open dataset for demonstrating timeseries forecasting?"

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1. some cut‏ @im_a_ct 16 Jan 2017
  Replying to @fchollet
  
  Stock market :P
  
  2 likes
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1. Daniel Fenton‏ @dmfenton 16 Jan 2017
  Replying to @fchollet
  
  anything from https://fred.stlouisfed.org/
  
  1 retweet
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1. Benjamin Bolte‏ @benjamin_bolte 16 Jan 2017
  Replying to @fchollet
  
  online handwriting: http://www.fki.inf.unibe.ch/databases/iam-on-line-handwriting-database … you'd need to ask the owner for permission if you're adding it to Keras though
  
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1. Vin (nickname, not the editor)‏ @vmesel 16 Jan 2017
  Replying to @rasbt @fchollet
  
  I think climate data would need less effort than stock market data to process and build a model!
  
  8 likes
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1. Vin (nickname, not the editor)‏ @vmesel 16 Jan 2017
  Replying to @rasbt @fchollet
  
  at principle it is pretty random, and there is a math law that declares it completely random
  
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1. Tom Brander‏ @dartdog 16 Jan 2017
  Replying to @rasbt
  
  .@rasbt @fchollet also some interesting big datasets available on Bigquery including time series..
  
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1. Foggy Hedgehog‏ @foggy_hedgehog 16 Jan 2017
  Replying to @fchollet
  
  , avoid stock market data. Returns are arbitraged away. You may try to predict volume, volatility -- something difficult to arb.
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1. Jeremy Howard‏ @jeremyphoward 16 Jan 2017
  Replying to @fchollet
  
  in the course I’ll be using Kaggle Rossman competition and taxi prediction comp. Good papers about how to get great results too
  
  14 likes
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