Lec-4: Linear Regression📈 with Real life examples & Calculations | Easiest Explanation
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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 ...
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least squares and the gaussian distribution #maths #machinelearning #datascience
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Arjun Gupta | The Knight of Steel on Instagram: "Scroll down if you want the answer to the question at the end! Linear regression is a powerful statistical analysis tool! Tagging the wonderful @akcasuallycruel for letting me remix this with her! . . . #psychologyindia #psychmajor #statistics #regression #knightofsteel A beta = 0.904 mean that for 1SD increase in X there is a corresponding increase of 0.904SDs in Y. Although we cannot establish causal relationships simply through a regression"
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Arjun Gupta | The Knight of Steel on Instagram: "Scroll down if you want the answer to the question at the end! Linear regression is a powerful statistical analysis tool! Tagging the wonderful @akcasuallycruel for letting me remix this with her! . . . #psychologyindia #psychmajor #statistics #regression #knightofsteel A beta = 0.904 mean that for 1SD increase in X there is a corresponding increase of 0.904SDs in Y. Although we cannot establish causal relationships simply through a regression"
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