When standing up a model to use in the real world there is a long list of considerations to take into account, from checking the integrity of the training data to understanding the biases and assumptions in different modeling algorithms to selecting the best metrics for evaluating the model. All…

Time series forecasting has always been a bit of a pain for machine learning. Everyone always wants to know what the future holds, and they say data is the key to all the answers, so asking “can a model tell me what happens next?” is not an illogical question to…

Alec Delany

Engineer turned Data Scientist.

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