We will examine many performance indicators used frequently in machine learning in this post. The performance and efficiency of our machine learning model are measured using performance metrics. In machine learning, the performance of a model is often evaluated using performance metrics. These metrics help assess the accuracy and effectiveness of classification and regression algorithms. […]
Hierarchical Clustering is a type of unsupervised machine learning algorithm used to group similar data points together. The goal of this algorithm is to create a hierarchy of clusters, where each cluster is a subset of the previous one. The algorithm starts by treating each data point as its own cluster. It then repeatedly merges […]
K-Means is a widely used clustering algorithm that partitions a set of data points into K clusters, where each cluster is defined by its centroid. The goal of the algorithm is to minimize the sum of squared distances between each data point and its closest centroid. The algorithm starts by randomly selecting K initial centroids […]
Random Forest is a robust machine-learning algorithm that is used for both classification and regression tasks. It is a type of ensemble learning method, which means that it combines multiple decision trees to create a more accurate and stable model. The mathematical intuition behind Random Forest is rooted in the concept of decision trees and […]
Decision tree algorithms are a type of supervised learning algorithm used to solve both regression and classification problems. The goal is to create a model that predicts the value of a target variable based on several input variables. Decision trees use a tree-like model of decisions and their possible consequences, including chance event outcomes, resource […]
Support Vector Machines (SVM) is a supervised machine learning algorithm that can be used for classification or regression tasks. The goal of the SVM algorithm is to find the hyperplane in an N-dimensional space that maximally separates the two classes. Mathematical Intuition Support Vector Machines (SVMs) are a type of supervised machine learning algorithm that […]
