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Multiple Linear Regression with scikit-learn

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  • Project: Multiple Linear Regression with scikit-learn
    • In this project-based course, you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for plotting. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper. By the end of this project, you will be able to build univariate and multivariate linear regression models using scikit-learn, perform Exploratory Data Analysis (EDA) and data visualization with seaborn, evaluate model fit and accuracy using numerical measures such as R² and RMSE, and model interaction effects in regression using basic feature engineering techniques.