Machine Learning Algorithms

Support Vector Machines (SVMs) are a type of machine learning algorithm that uses a kernel-based approach to classify data or make predictions. They are a popular algorithm for classification and regression tasks, and are known for their ability to handle high-dimensional data and non-linear relationships. What is a Support Vector

Random Forest is an ensemble learning algorithm that combines multiple Decision Trees to improve the accuracy and robustness of the model. It is a popular algorithm for classification and regression tasks, and is known for its ability to handle large datasets and improve the accuracy of the model. What is

Decision Trees are a type of machine learning algorithm that uses a tree-like structure to classify data or make predictions. They are a popular algorithm for classification and regression tasks, and are known for their simplicity and interpretability. What is a Decision Tree? A Decision Tree is a tree-like structure

Linear Regression is a type of machine learning algorithm that predicts a continuous output variable based on one or more input features. It's a supervised learning algorithm that learns from labeled data, where each example is a pair of input and output values. What is Linear Regression? Linear