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Winnipeg Data Science - Projects - Random Forests

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Alex C.
Winnipeg Data Science - Projects - Random Forests

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Now that we have successfully implemented a Random Forest, we will continue learning with our current base example. Last week we touched on the evaluation, determination, and setting of hyper parameters. We will examine these more in depth. Along with the Pre-analysis of the data and the post-analysis of the results, we will look at deploying inline in our data warehouse. Note: this class is Scheduled for 1PM-4PM

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Winnipeg Data Science - Projects - Machine Learning with SQL
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