Essential Machine Learning Techniques for Data Scientists

Top Machine Learning Techniques Every Data Scientist Should Know. Linear Regression: Predict future outcomes by establishing a straight-line relationship between input and output variables. Decision Trees: Make decisions by breaking down data into smaller, more manageable segments, resembling a flowchart. Random Forest: A collection of decision trees that work together to improve accuracy and minimize errors. Support Vector Machines (SVM): Identify the best possible boundary line between different classes of data. K-Nearest Neighbors (KNN): Classify data points based on the majority vote of their neighbors.
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