Lec-4: Linear Regression📈 with Real life examples & Calculations | Easiest Explanation
11:01
YouTubeGate Smashers
Lec-4: Linear Regression📈 with Real life examples & Calculations | Easiest Explanation
Linear Regression is one of the simplest and most widely used algorithms for predicting continuous outcomes. It establishes a linear relationship between input features and the target variable, making it easy to understand and implement. In this video, we’ll cover the fundamentals of Linear Regression, explain how to apply it to real-world ...
1.3M viewsAug 28, 2023
Shorts
Linear Regression: Equations, Variables & Analysis
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Linear Regression: Equations, Variables & Analysis
CPA Samuel Otieno
Linear regression is a statistical technique used to describe the relationship between a dependent variable and one or more independent variables. It works by finding the straight line that best fits the data, represented by an equation with a slope (or multiple slopes) and an intercept. To fit this line, the algorithm estimates the model parameters in a way that minimizes the gap between the actual data points and the model’s predictions. These gaps are called residuals, which represent the dif
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Linear regression is a statistical technique used to describe the relationship
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