NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities
With Terezija Semenski
Liked by 140 users
Duration: 1h 12m
Skill level: Intermediate
Released: 3/4/2022
Course details
NumPy provides the numerical backend for nearly every scientific or technical library for Python. Many advanced data science and machine learning libraries require data to be in the form of NumPy arrays before it can be processed. In this course, instructor Terezija Semenski gives you a closer look at advanced features in NumPy and Matplotlib. Matplotlib is the most popular library for plotting with NumPy. Terezija steps you through the basics of plotting functions and implementing figures with Matplotlib, then goes over advanced commands and plots. She introduces universal functions in NumPy, as well as strides, structure arrays, dates, and times. Terezija also covers basic linear algebra capabilities that you can apply in NumPy, including decomposition, polynomial mathematics, and linear regression.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Gospel Amaechi
Gospel Amaechi
| Geoscientist | Data Analyst | Change Agent | Compliance Coordination | Business Improvement Practitioner | Project Management | HSSE Management…
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone
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