Deep Learning Prerequisites: The Numpy Stack in Python V2
Numpy, Scipy, Pandas, and Matplotlib: prep for deep learning, machine learning, and artificial intelligence
4.54 (3495 reviews)
71 265
students
2 hours
content
May 2025
last update
FREE
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What you will learn
Basic operations in Numpy, Scipy, Pandas, and Matplotlib
Vector, Matrix, and Tensor manipulation
Visualizing data
Reading, writing, and manipulating DataFrames
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Our Verdict
Deep Learning Prerequisites: The Numpy Stack in Python V2 offers a solid foundation in essential libraries for those interested in deep learning, machine learning, or artificial intelligence. While the course can be challenging and may lack support resources, its comprehensive content and knowledgeable instructor make it a valuable starting point—especially considering its affordability.
What We Liked
- Comprehensive coverage of Numpy, Scipy, Pandas, and Matplotlib libraries
- Instructor is knowledgeable and explains concepts clearly
- Includes practice problems for hands-on learning
- Free course, making it accessible to a wide range of learners
Potential Drawbacks
- Exercises can be challenging and may require external resources
- Lack of Q&A section or forum on Udemy platform
- Some examples used in the lectures are not beginner-friendly
- Instructor's teaching style may come off as condescending to some learners
Related Topics
3060786
udemy ID
27/04/2020
course created date
08/05/2020
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