Python for Machine Learning & Data Science Masterclass (Udemy.com)

Sehr einsteigerfreundlicher Kurs. Einige Commands sind teilweise veraltet, was angesichts des Kursalters verständlich ist. Nichtsdestotrotz sind die meisten Inhalte auf dem aktuellen Stand. Sehr hilfreicher Einstieg in Data Science!

very good materials to introduce the ML discipline with a wide amount of examples, I like it a lot specially the way Jose explain each topic and provide examples of each one of them. I wonder if he has any other course regarding Deep Learning, I need it. Congrats Jose you are my Tocayo you know What I mean (my name is Jose too) form Mexico, how can I keep contact with you?

I would give the course content and instructor a 5, however at 4 years old 'it is getting long in the tooth' which eternity in the data science field. I am assuming that with the huge number of students to instructor is making a lot of money from this and thus he should reinvest a relatively small amount of time to bring this up to date to provide the most value to the students. Particularly the areas like 1) the config portion in the beginning that is very confusing and I imagine a pretty big burden thus creates a lot of drop outs right out of the gate, 2) some of the notebooks that do not run without errors because the the libraries have had significant changes should be redone, 3) the reference to the "Introduction to Statistical Learning" that has added a much more appropriate Python version rather than the R version referenced, and 4) new ML libraries that have since been introduced.

I have done numpy,pandas,matplotlib,Seaborn and capstone project on data analysis on fandango movie website. This course is great for a person who want real practical work with datasets. I want to advice students if they want to make 90 or 100 percent of it. They should make notes with the video lectures and prepare and practice them.

This course has been very interesting with a great mixture of theory and actual demonstration of the tools to turn the theory into practice.

I really appreciate José's use of Jupyter Notebooks, and careful presentations on the topics. They are concise and useful, and build upon one another - so the information is manageable. I took this class expressly because of his use of notebooks, because it gives an ability to "play" - and not just "recite" or "repeat" what he tells you to do. That is why this program has taken me so long to complete - precisely because IT WAS useful and I could use it in my day-to-day life.

I find this course particularly well designed. The logical structure of the course is very relevant and each topic is approached in a very concrete or practical manner. Another great point, is that many key concepts are visually explained which allows for the learner to build a strong intuition accordingly. Although this course is already a bit old (last update in December 2022, and I took the course during Winter 2025), it is still fully relevant to develop strong Machine Learning fundamental skills before evolving deeper in this domain.

Rating based on : Completed until Pandas today. now moving to Visualisation and then Machine Learning. Covers most of the Pandas topic, especially the ones most commonly used. The delivery is quite clear and Jose explains the topic well. This is not a comprehensive pandas course. However a few more practice exercises would be helpful rather than back to back videos on concepts. The exercise on pandas was good, but still overall quite simple and not large enough to cover the topics covered. More practice exercises and a few more methods in pandas would make this a 5-star for pandas material.

Best courses. The teaching is clearly designed to make people, even without programming experience, understand. The code and demo are very well thought out and real implementation-oriented. I, from a nobody, can finally write a research manuscript with an ML topic; I owe a lot to Jose and the team. Thank you is not enough to express my thankfulness for their modules. I wish Jose and the team to achieve many good things in life.

Generally a very good content related to the older ML algorithms. In the recent years many new models appeared which are not covered here. Also the course is not going in depth of how the models work, but as a general overview the course is really good. The content is well explained, therefore it is also suitable for beginners in the field, I suppose.