This webinar will be on 8th of May and on 12th of May. A neural network is a statistical technique that calculates weights for predictor characteristics by self-learning from data examples. Let's talk in more details.
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Decision trees are supervised learning models used for problems involving classification and regression. Tree models present a high flexibility that comes at a price: on one hand, trees are able to capture complex non-linear relationships; on the other hand, they are prone to memorizing the noise present in a dataset. Let's talk in more details.