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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

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The answer you seek is highly domain dependent. But before I get into that I want to introduce some terminology that might be useful. Transfer learning is the improvement of learning in a new ta …
answered Jul 5 '17 by DivyaJyoti Rajdev
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In terms of algorithms, I cannot suggest any without a sense of the data i.e. does it decompose well into trend, seasonality and remainder effects or how it is affected by other variables etc. But si …
answered Jul 5 '17 by DivyaJyoti Rajdev
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I would recommend using MDS since it gives the best summary at a glance. But in favor of interpretability, after looking at variable importances, you could pick the k most significant variables (if …
answered Jul 11 '17 by DivyaJyoti Rajdev