Understanding Random Forests with Python Code

Towards Data Science is such a great Medium blog that I should consider writing for it! I came across a great article about explaining/understanding how Random Forests work compared to Decisions Trees. The author writes about variance/bias tradeoffs, splitting criterion, and why Decision Trees are prone to overfitting.

The article is well worth the read for new practitioners in the Data Science field, and the python code is a nice touch.

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