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Random forest: ML Algorithm #machinelearning #python #randomforest #ml #ai
I just shared a new video where I explain Random Forest in the simplest way possible using a real-life example. In this video, you'll learn: What is Random Forest? Why do we use it? How multiple Decision Trees work together Why it is more accurate than a single Decision Tree A simple real-world example anyone can understand My goal is to make ...
338 views2 months ago
Shorts
If you are beginning to learn machine learning, the number of model names can make the field seem much more complicated than it actually is, but most models can be organized into a few major families based on how they learn and the kinds of problems they are designed to solve. Linear and logistic regression learn relatively simple relationships between variables, while decision trees, random forests, and gradient-boosting models make predictions through combinations of decision rules. K-nearest
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