Introduction to Regression with statsmodels in Python
Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Introduction to Statistics in Python
Introduction to Data Visualization with Seaborn
What You Will Learn
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
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in Python
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
Course Instructors