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Learn Python for Data Science & Machine Learning to build regression and forecasting models through hands-on projects. Quick Summary Learn how to: Data Science in Python: Regression & Forecasting is a comprehensive course that will provide participants with the machine learning fundamentals needed for regression analysis in Python. Specifically, students will learn how to perform comprehensive exploratory data analysis on features, target and relationships between them. With this knowledge they’ll be able build and interpret simple and multiple linear regression models with Statsmodels and Scikit-Learn. Moreover, they’ll be able to evaluate model performance using tools such as hypothesis tests, residual plots, and mean error metrics so that any violations of the assumptions of linear regression models can be quickly diagnosed and fixed. Ultimately, this course is an easy way for people to gain the skills necessary for using Python for data science applications by focusing on