10 Important Algorithms Every Data Scientist Should Know

Data science is a constantly evolving field that requires mastery of essential algorithms to uncover insights from datasets. This article outlines 10 important algorithms, from linear regression and logistic regression to K-Means clustering and Random Forest, that are essential for any data scientist. These algorithms are used for predictive analysis, classification, clustering, decision-making, and feature selection, among other tasks.