Machine Learning Random Forest with Python from Scratch - Classification versus Regression

The video tutorial covers the three main types of machine learning: classification, regression, and clustering. Classification is explained as a supervised learning method that predicts categorical outcomes, such as spam detection. Regression is described as predicting continuous values, like salary based on age. Various algorithms for both classification and regression are discussed, including logistic regression and random forest. The tutorial concludes with an introduction to clustering, a method used in unsupervised learning to classify data without labeled examples.

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