Machine Learning with Python: Foundations
With Frederick Nwanganga
Liked by 6,285 users
Duration: 1h 54m
Skill level: Intermediate
Released: 10/6/2021
Course details
You’ve probably heard about machine learning before, but have you ever wondered what that term really means? How does a machine learn? Have you thought about building a machine learning model, but didn’t know where to start?
In this course, Frederick Nwanganga introduces machine learning in an approachable way and provides step-by-step guidance on how to get started with machine learning via the most in-demand language in use today, Python. Frederick starts with exactly what it means for machines to learn and the different ways they learn, then gets into how to collect, understand, and prepare data for machine learning. He also provides guided examples of how to accomplish each step using Python. Finally, he brings it all together to build, evaluate, and interpret the results of a machine learning model in Python.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Hanumanth Yadav Dokkara, PMP®, CSM ®
Hanumanth Yadav Dokkara, PMP®, CSM ®
Staff Engineer - Manufacturing, Applied Materials
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Andrew Thomas
Andrew Thomas
Data Analyst | Python | Excel | SQL | R | RStudio | Tableau | Data Cleaning |
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
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