Newly installed Pollution Control Sensory Platforms are dumping Continous/Discrete Environment Pollution Parametric Data from various locations.

  1. Whats the best format structured or Unstructured of data storing efficient from day one and compatible to ML ?
  2. What should be the strategy : Supervised or Reinforced or UnSupervised form of ML ?

End objective is to predict the pollution levels in a specific route and recommend/alert the time for Bicycling , Walking and Running for sports enthusiasts .


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