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  • Linear Regression

    "A large, worn-out chalkboard filled with a complex web of statistical formulas, equations, and graphs in various colors of chalk. A piece of chalk hovers mid-air, as if magically drawing a new line on the board, creating a dynamic representation of data analysis. Dust particles gently float around, catching the light that streams into the room, highlighting the chalkboard's significance --v 5 --ar 5:2 --q 2 --stylize 1000"

    Introduction to Linear Regression

    Linear regression is a fundamental statistical method used to study the relationship between two variables by fitting a straight line to a set of observed data points. This technique is widely used in machine learning and data analysis to make predictions and understand connections between variables.

    In this article, we’ll explore the basics of linear regression and implement a simple algorithm to predict house prices and classify whether an object is a cat. We’ll also discuss how to improve the algorithm’s performance using normalization and gradient descent.

One is the pinnacle of evolution; another one is me

One on the picture is the pinnacle of evolution; another one is me: inspired developer, geek culture lover, sport and coffee addict