/Classifiers-for-time-varying-data

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Classifiers for time varying data

Built various classifiers for time varying data.

  1. Classifier for predicting epileptic seizures.
    -> Data import and feature construction.
    -> Data normalization.
  2. Developed Autoregressive models and Recurrent neural networks for multivariate time series forecasting on hourly data about weather and pollution in Beijing.