This article provides a beginner-friendly introduction to Large Language Models (LLMs) and explains the key concepts in a clear and organized way.
Linear Regression Multiple Regression Polynomial Regression Decision Tree Logistic Regression K Nearest Neighbor Naive Bayes Random Forest Support Vector Machines Principal Component Analysis Linear Discriminant Analysis K Means Clustering Hierarchical Clustering
