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Supervised Learning: Regression with Python
Regression, an essential branch of supervised learning, is not just about predicting numerical outputs. It's about understanding the relationship between variables and using that knowledge to make accurate predictions. In this course, you'll delve into the fundamentals of regression, explore various methods, and learn how to implement them using Python, all with a focus on real-world applications.
6 minutes
Video Time
24 minutes
Ebooks Time
2 (no grades)
Quizzes
8
Notebooks
1 (15 questions)
Exam
1
Certificate
Gladys Casas-Cardoso
Data Scientist, Statistician, Instructor
About me
I am a Mathematics and Computer Sciences professor since 1994. With a master's degree in Mathematics and a Ph.D. in Technical Sciences, I enjoy teaching at all levels and ages.
I look forward to sharing my love of building meaningful and compelling content with all students to develop their data analysis abilities.
David Izada-Rodriguez
Computer Scientist, Software Engineer, Instructor
About me
After years of researching and teaching Computer Science, I switched to its applications to several industries. This experience allowed me to develop general-purpose techniques to be used from the factory floor to enterprise applications on the cloud. As I did at the beginning of my career, I am ready to share my experience.
We provide practical, high-quality education in data science, statistics, Python, machine learning, and AI, combining solid theory with hands-on learning.
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