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Supervised Learning: Classification with Python

Classification, a vital branch of supervised learning, involves deciphering categorical data. In this course, you will master the fundamentals of classification, explore various methods, and practically implement them in Python. By the end, you will be armed with the skills and confidence to effectively address real-world classification challenges.
7 minutes

Video Time

30 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.
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