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In this video, I show you how to implement Linear Regression step by step using NumPy, Matplotlib, and Scikit-learn. First, we create and structure the dataset using NumPy. Then we visualize the relationship between variables using Matplotlib. Finally, we train a LinearRegression model using Scikit-learn and fit the best line to the data. You will understand: • How to prepare data for training • How model fitting actually works • How to generate predictions • How to visualize the regression line
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