GridSearch for hyper parameter tuning with scikit-learn
All most all the machine learning models have various knobs, dials and parameters that we can set to modify its performance. For example: * Neural Networks have learning rate and regularization strength * Convolutional Neural Networks have several layers, number of filters per convolutional layer, number of nodes in the fully connected