Deep Learning Prerequisites: The Numpy Stack in Python V2

This is a great overview. Consequently, with regard to pandas in particular the course is relatively short. I personally would like to see the solutions to the exercises. I understand that if you want to understand it, you have to be able to do it. Would be nice to see the solutions nonetheless.

The prerequisites aside, course is not accurate for the beginners and not informative enough for those who dominate python basics and want to use Numpy, Matplotlib and Pandas. The lack of the humbleness and tasteless jokes of the educator makes the course even worse. Though, it was possible to get a general understanding about deep learning. Thanks

This Course is amazing , and I recommend it for any one want to start with Numpy, Pandas , and SciPy. To have benefits from this course , you have to dirty your hands to stack and gain more experience in those libraries , especially if you want to go through machine and deep learning. For me it was hard because I need to learn math again, especially after leaving the school more than 20 years ago, because of this i found this link is good and I badly recommend reading this link https://lazyprogrammer.me/what-maths-are-critical-to-pursuing-ml-ai/ I have small note : that the exercise is more professional to the given content, which make it in the beginning hard or from where should I start solving :), especially if you are comming from deep learning Tensorflow course , and taking this course as prerequisite :D If there are many exercises for example 3 exercises for each section, with starting with easy then make it harder in the next exercise and so on. But it seems from the begining, making these exercises in the mentioned sections in this difficulty is to increase the experience and to work harder. deserves five stars , good job. Best Regards Ahmad

Muchos pasos que no logre entender con que sentido se utilizaba scipy, se noto la falta de tiempo en dedicación de este curso

the quality of the materials: videos, structure of contents meets the beginner expectations and guidance.

People who know Python or have taken more basic courses about data science will enjoy these lectures. It is not for totally beginners. and the information provided is very important.

This guy is a bit sassy, but not more than what you would generally expect from teachers. His teaching is fast paced, but clear and understandable if I rewind enough times.

Why would you feel, so bad about this Course, because it wants you to do something yourself, not spooning you with content. So yes, get ready, you will watch each section, you will know what you need to learn, you will learn it, and after week you will return, that there is still another half you need to learn. Instructor is more like professor, give you outline, but the will to really learn is up to you. So because of that for a moment I was thinking to give one star, not because it is bad course, but for people who look at score reviews for to see this there. But as you can see I didn't, course is perfect and it is course you have to show your attitude and will to learn. Thanks.

I have taken this course to learn about Numpy, MatPlotLib, Pandas, Scipy and Scikit-learn, which are prerequisites to coding Machine Learning programs using Python, and so far this course seems really promising. The lack of a Q&A section can be a downside but the lecturer has set up a forum for that, you can reach that forum by going to this lecture's webpage in the lecturer's website. The website's link is given in the Extra Resources lesson.

Yes but it shows simple information for difficult exercises, I do recommend lower it's difficulty or explain more how to do any upgraded exercise.

Good course, but I wish there was a Q&A section so that we could ask questions. In particular, I wasn't sure how to generate the 'doughnut dataset'.

Maybe providing the solutions for the exercices, especially for the scipy one would have been better, but good course overall

Amazing course! Great presentation style, clear explanations, and inspirational for diving deeper into the field.

took me a while to get back to this one ... but finally :-) now that i brushed up my math skills (> 40 yrs out of school), I can move forward to more advanced courses of the same instructor. highly recommended!

It a good course overall for its price which is free and a requirement for a paid course (I am comparing it to YouTube resources), scared to say anything critical because the lazy programmer as he seems to think every criticism about the course is wrong based on me just reading the reviews to critical feedback, but getting access to the pre-written notebook or content is a pain, I found the document once in one of the earlier videos and it was not great to work from to begin with. The documentation is hard to find...., the documentation seemed to just have a bunch of links not referring a specific lecture, the course requires you to copy and paste content from the documentation which is a pain.... not sure why its not added as a resource on the specific lecture, or a note etc....