Opiniones y comentarios de aprendices correspondientes a Applied Machine Learning in Python por parte de Universidad de Míchigan

The explanation could have been much better.

Good start but i was very boring later on.

The topics were good, but too many were d

Homeworks are inconvenient to submit

The narration was a bit boring.

Teacher wasn't very good

very long videos

To fast paced.

Really disappointed with the course ...you may ask why??

The first thing is the instructor , super boring. The instructor (with all due respect) was very dry and the lectures were super uninteresting. When he keeps on talking code, but doesn't really explain stuff. The material and lectures were dry and colorless.

Me without having good statistics background had huge difficulties understanding the concepts. Please i recommend everyone to have good knowledge in statistics before starting the course. ABSOLUTELY NOT THE BEGINNER LEVEL AND NEITHER INTERMIDIATE LEVEL .the course is quiteeeee difficult.

You also need to have a lot of self study , which i am not a big fan of. I hope they make the course more fun rather than a man constantly talking on the screen .

I found this course quite challenging to complete. The assignments are difficult (which is good, they are practical and I enjoyed them) and only a fraction of things is explained in the videos. I really found much better learning materials around the web (and for free!). For applied machine learning course, I would expect more practical videos. Also the process of submitting assignments is really frustrating, I spent half the time correcting errors that were not related to the assignment objective. If this course was not part of specialization, I would not complete it.

Lectures are good but they expect you to extract too many fine details from them in order to pass the quizzes and assignments. You'd have to watch these oral lessons ten times in order to pass the tests, which are needlessly nitpicky.

Los videos no son suficientemente extensos ni para explicar el código, ni para explicar la teoría detrás de los algoritmos, se queda a medio camino de los dos siendo insuficiente en ambos casos

The better course of this stack... and that's all the positive feedback I have. This course is still very poorly designed and unstructured with a bunch of unfixed mistakes after 4+ years.

The videos were presented at a snail's pace, I needed to play them at 1.75 speed. The python notebook assignments were full of bugs and errors which was quite frustrating.

This course is outdated by few years and not been updated in general with lots of mistakes in assignments and on slides making it very not ejoyable to use.

Not as good as prev. courses. Univ. of mic. should update or get ride of this module

Frankly the quiz questions are ridiculous and no explanation is given why answers are considered incorrect. The wording of the answers is not clear and any from 5 is 120 permutations. You get three attempts and then you have to wait 8 hours. Not great if you are studying part-time. I gave a star for the quality of the video which seemed good although I already know the theory from my university course. However, there was no written material - which again helps answer the questions. This is only a coursera courses, tests should be there to help learning not hinder it.

There's a bug in the final homework that the TA and peers don't sufficiently explain how to solve so I can't get the course certificate just by knowing the content taught in the course. It's not fair.

Course was not as expected, I think XG Boost for instance is quite large and was covered in less than 20 minutes.

The course is full of faulty assignment grader and the concepts given are not up to the mark

Can't the lecturer use proper slides with proper diagrams for a better explanation.

Things in the beginning are not explained properly

Terrible lectures - assignments were good though

many issues while submitting assignments

enrolled by mistake want to u nenroll