Regression Foundations with Python

Learn the fundamentals of regression analysis using Python in this beginner-friendly course. Understand how regression models work, explore the relationship between variables, and learn how to build predictive models using real-world datasets. This course covers simple linear regression, data preparation, model training, prediction, and performance evaluation using popular Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. By the end of this course, you will be able to build and evaluate basic regression models and apply regression techniques to practical data analysis and machine learning problems.