Building a Fantasy Hockey Beater

using machine learning to forecast nhl player performance

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I convinced a couple friends to join me in a quest to wield Machine Learning to predict hockey player performance. It was a promising idea, but I needed their programming help and hockey insight to make it a reality. Knowing the outcome of the season before it’s played would assure success for our fantasy hockey teams! Just throw a bunch of stats into the black box of an ML algorithm and… poof! Championships! Right? We weren’t that naive (but still: naive). And at least we were aware of our naivety. Our combined experience with ML was 0.00, so if nothing else, we’d have infinitely more experience by the end. Continue reading “Building a Fantasy Hockey Beater”