Linear and Multiple Regression in Exploratory Data Analysis | Data Science Tutorial | AI | EDA ||
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we will explore the concepts of linear and multiple regression in exploratory data analysis (EDA) using Python. We will start with an introduction to EDA and then dive into the details of regression analysis, including simple linear regression, multiple linear regression, and polynomial regression. We will cover topics such as model building, fitting, and evaluation, as well as the interpretation of regression coefficients and the significance of predictors. We will also demonstrate how to visualize regression results using scatter plots, residual plots, and regression lines. By the end of this video, you will have a solid understanding of regression analysis and how it can be applied to EDA in data science.
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