Decision Tree Regression Clearly Explained

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Have you ever heard of Decision Tree Regression in ML? Decision Tree Regression is a powerful Machine Learning technique for creating predictive models. It uses a tree-like structure to make decisions and generate predictions based on the input data. Whether you're trying to predict stock prices or customer behavior, Decision Tree Regression is a reliable and effective tool for uncovering insights and solving real-world problems. Watch this video to find out more!

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Комментарии
Автор

That was an amazing and clear explanation, especially for non-technical learners. Thank you so much

oualidlaib
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Thanks - interesting. Thinking about taking up the course
Are the splits always at right angles to the axes - get xn >c ?

antique-bsbb
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Thank you very much I m a prof I work In a scientific paper using machine learning I've already used MLR and GAM models and I will use a random forest model if you are interested you can work together I look for your response

sbaisalaheddine
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this is the worst explanation of DTR, YOU DONT KNOW HOW TO CLEARLY EXPLAIN IT

youshouldaknown