What's included

• Data Reports

  A pre-step needed to be taken before developing any ML model is the data visualization and analysis, given that the data is already at hand, if not then there is the step of collecting the data.

• Model Selection and Results Reports

  After training multiple models in multiple iterations a report must be given to decide on multiple trade offs (speed vs accuracy, precision vs recall, etc..) Then a model is selected and delivered.

• API creation or integration

  If there is already a backend setup then we need to integrate the model with the apis of that backend service. or in other cases we might need to deploy the model on the client side or with other third party apps or deploy independently on the cloud.