Decision trees are a powerful tool capable of mapping non-linear relationships and complex relationships between many variables. They are also computationally inexpensive compared to other algorithms. There are many forms of decision trees, but I am going to just cover the basics of the algorithm in this post.

Decision trees work like a flow chart. The algorithm constructs a series of yes/no questions that lead to further questions until the best predictions can be produced. This is similar to the game 20 questions or the famous Akinator game. The tree starts with one question regarding the feature data. This is…

Datascience George

Data scientist learning at Flat Iron School

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