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Hello, This Notebook Contains Machine-Learning Service To Training Multioutput Regression Model.
- the produced model is a piece of complement project named(Reactions Prediction).
- We use multioutput regression technique to predict all values by one model insted of train one model per category (there is also mathmatical reasons beyond using it).
- We use Scikit-Learn library for training and testing models.
- We implement different techniques for feature selection, and we use Grid_Search technique for parameters tunning.
- Finally we export the best model into .pickle file