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• Implement NLP Sentiment Analysis for Multi Source Data

  Implement a web scrapper, NLP preprocessing, and sentiment analysis pipeline for the following sources: * Financial Reports (10-k etc.) * Forums (Reddit, others?) * News Articles Develop decay rate system to strech NLP analysis into temporal domain such that these features can be used within a timeseries dataset. EG., Good sentiment for news articles decays to neutral sentiment over x number of days.

  Overdue by 3 year(s)

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  Due by August 1, 2021
  0% complete0 open0 closed

• Evaluate Preprocessing Stack

  - tslearn.readthedocs.io

  No due date

  •0/1 issues closed
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• Evaluate AutoML Frameworks for Timeseries

  https://openml.github.io/automlbenchmark/automl_overview.html - GluonTS - AutoKeras TimeSeries - [AutoArima](https://alkaline-ml.com/pmdarima/modules/generated/pmdarima.arima.auto_arima.html) , [pmdarima](https://pypi.org/project/pmdarima/) - [Google AutoML](https://codelabs.developers.google.com/codelabs/time-series-forecasting-with-cloud-ai-platform#0) not sure if it is relevant - [H20](http://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/time-series.html)

  No due date

  •2/9 issues closed
  22% complete7 open2 closed

• Evaluate Reinforcement Learning Frameworks

  Before we decide on a framework to work with, it's best we evaluate them first. Evaluate these reinforcement learning frameworks. If you happen to know another framework you'd like to experiment with, please create issue for yourself or other deeptendies members! - Google’s Dopamine - Facebook’s ReAgent - Huskarl - Deepmind’s bSuite - OpenAI Gym

  No due date
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