vikramnagashoka / classifiers-for-time-varying-data

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.