After the presentation of data acquisition conditions on the previous Jupyter Notebook , we will follow our Machine Learning Journey by specifying which features will be extracted.
Rock, Paper or Scissor Game - Train and Classify [Volume 2]
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Imagine creating a game that using the signals from your hand can try to guess what is the gesture you are making and play "Rock, Paper or Scissor" game.
At our final volume (current Jupyter Notebook ) an evaluation methodology will be described taking into consideration a particular cross-validation technique.
After the previous two volumes of the Jupyter Notebook dedicated to our "Classification Game", we are reaching a decisive stage: Training of Classifier.
On the current Jupyter Notebook it will be done a very quick presentation of Orange.