Linear regression :

Linear regression is a fundamental statistical and machine learning technique used to model the relationship between a dependent variable (target) and one or more independent variables (features). The goal is to find the best-fitting line (or hyperplane in higher dimensions) that predicts the target variable based on the features. Key Concepts Assumptions of Linear Regression…

Neural Networks

Neural networks are a foundational component of machine learning, inspired by the structure and function of the human brain. They are particularly effective for modeling complex patterns and making predictions from large amounts of data. Here's a breakdown of what neural networks are and how they work: 1. Basic Concept A neural network consists of…