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  • Language
    Jupyter Notebook
  • License
    Apache License 2.0
  • Created over 1 year ago
  • Updated over 1 year ago

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Repository Details

Analysis of Air Pollution prediction and time-series forecast of PM2.5 Pollutant using Machine Learning Algorithms (SVM, Decision Tree and Random Forest) and Deep Learning Algorithms (CNN, Bi-LSTM). Also considered for improved performances is random search hyper-parameter tuning using Ray-Tune with HyperBand Scheduler strategy.