Introduction to Regression with statsmodels in Python

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Course overview

Provider
Datacamp
Course type
Free trial availiable
Deadline
Flexible
Duration
4 hours
Certificate
Available on completion
Course author
Maarten Van den Broeck

Description

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in Python.
Linear regression and logistic regression are two of the most widely used statistical models. They act like master keys, unlocking the secrets hidden in your data. In this course, you’ll gain the skills you need to fit simple linear and logistic regressions. Through hands-on exercises, you’ll explore the relationships between variables in real-world datasets, including motor insurance claims, Taiwan house prices, fish sizes, and more. By the end of this course, you’ll know how to make predictions from your data, quantify model performance, and diagnose problems with model fit.

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