Deep Learning Prerequisites: The Numpy Stack in Python V2

Numpy, Scipy, Pandas, and Matplotlib: prep for deep learning, machine learning, and artificial intelligence

4.51 (3519 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Basic operations in Numpy, Scipy, Pandas, and Matplotlib

Vector, Matrix, and Tensor manipulation

Visualizing data

Reading, writing, and manipulating DataFrames

Course Gallery

Deep Learning Prerequisites: The Numpy Stack in Python V2 – Screenshot 1 — Screenshot 1 – Deep Learning Prerequisites: The Numpy Stack in Python V2

Deep Learning Prerequisites: The Numpy Stack in Python V2 – Screenshot 2 — Screenshot 2 – Deep Learning Prerequisites: The Numpy Stack in Python V2

Deep Learning Prerequisites: The Numpy Stack in Python V2 – Screenshot 3 — Screenshot 3 – Deep Learning Prerequisites: The Numpy Stack in Python V2

Deep Learning Prerequisites: The Numpy Stack in Python V2 – Screenshot 4 — Screenshot 4 – Deep Learning Prerequisites: The Numpy Stack in Python V2

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Comidoc Review

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