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
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
