Python for linear algebra (for absolute beginners) (Udemy.com)

thank you for the explanations. I like the fact that in the assignments you want the students to search for stuff themselves and not depend only on the course. the "throwing into the water" gives confidence and sense of capability for me as I know what im looking for after watching each lesson.

Such a great course. Truly exceeded my expectations. I truly recommend it for people who are fully aware in Linear Algebra, but starting in Python, and vice versa. It is a great introduction to the libraries numpy and matplotlib. Such a great content - and it is 100% true when the instructor says we are going to have fun with the assignments. I had a lot of fun, for real.

The method of teaching is good however, the maths part was too much for me to understand as I am not sure if so much math is required for a health data scientist. I am a beginner and felt it was too much to grasp. However, the tutor. Mike demonstrates the concepts in an easy-to-understand fashion. This course is surely for people who have basic understanding of linear algebra.

I'm greatful for a free course to begin learning Linear Algebra in order to start studying things like Machine Learning in Python. It's not too advanced for me to learn from, and I am learning things and applying it in Python. After this I think I'll be able to start studying other material without getting lost as easy.

Pretty much a good match, kind of a very quick review of what I was doing in quantum chemistry 40 years ago, but dependent on existing routines to do actual calculations. The use of matplotlib was interesting, we didn;t have that kind of visualization back then

It's amazing how the course was presented: Short introductions of the themes with a little task as an assignment at the end of every chapter. It seemed impossible for me to compress this broad field, but the instructor succeeded it well and it seems to me as a good starter course for every python beginner. I participated in this course to see if it was worth going to the big courses of this instructor. "YES" is my verdict and I choose "Master statistics & machine learning: intuition, math, code" as my next course."

This instructor is very knowledgeable and articulate. I've taken courses from him before and will continue to even enroll in more courses ahead. You can tell by listening and observing where his dedication leads you. I completed this course in one short sitting of less than two hours and it gave me some incite on Python and how it works with matrices normally taught in linear algebra.

One of the best quality lecture videos, voice is clear, articulate speech! Concepts can be grasped and remember for long time in 2 viewing only ( in my case). Looking forward to enrolling for other course as well by the conductor!

excellent short intro to his larger course on linear algebra. let me use this opportunity to say something about mike's teaching style: not to brownnose anyone, but with all my course on udemy (and I have a lot!) mike really stands out. he is equally competent and eloquent, one always takes something away from his courses. take those courses!

It is one of the amazing courses that I have taken. Short and wonderful explanations. People who hate math can actually find interest in it by learning it through coding. I strongly recommend to take this course. This course also gives the foundation of coding Linear Algebra equations in Python which is required for Machine Learning. I am going to the next course of Mike related to Statistics & Machine Learning. See you all there ! :)