Machine Learning, Data Science & AI Engineering with Python (Udemy.com)

The course covers many important Machine Learning and AI topics, and it is clear that the instructor has strong knowledge of the subject. However, I personally struggled with the teaching style. Much of the content felt like reading from prepared notes or slides rather than teaching concepts in an engaging and easy-to-understand way. As a result, I found it difficult to stay interested and absorb the material. The course may work well for self-driven learners, but for me, I was looking for more detailed explanations, intuition, and interactive teaching. Overall, the content is good, but the delivery did not match my learning preferences.

Excellent course for beginners and covers from basic concepts to Advanced concepts of Machine Learning in an understandable manner. Given simpler explanation of complicated concepts so that all non-Data Science person can understand easily. Thanks.

Awesome! Good content and well-structured presentation. I really enjoyed this course, learnt a lot, informative and fun approach to presenting the material. The instructor was extremely knowledgeable, making complex topics easy to understand through engaging, practical examples and also the trainer was incredibly supportive and responsive, provided clear, actionable advice. This training was excellent and extremely valuable. Thank you so much to instructor.

Amazing course! I'm just starting in the world of data science and this course was a real eye opener of what you can do with machine learning and data science tools. As an idea, I would really like to see a short course specific to hyperparameter optimization techniques!

Amazing course! I'm just starting in the world of data science and this course was a real eye opener of what you can do with machine learning and data science tools. As an idea, I would really like to see a short course specific to hyperparameter optimization techniques!

Frank made this course easy to understand, even when he goes over complexe notions. His hands on approach lets you experiment as you go. Great course for anyone who wants a better understanding of data science and ML.

It's starting to get a tad outdated despite recent edits. Yet, the main reason I didn't rate it 5 stars is because the course doesn't cover PyTorch, which is increasingly being used as a replacement to tensorflow.* *Admittedly, I know this by forum discussions and ignore how strong is this tendency, or how much (in %) each one is used for corporate and academic purposes.

Frank is superior in describing hard math, calculus and statistics in simple and clear words with python examples and hands-on demos. This course extensively covers Deep Learning, ML algorithms and all possible problems with choosing models, data preparation, training and tuning them, finally validating - to the fullest extent. Keep up the good work, Frank!

Frank set up a great build from the foundations of statistical analysis to GenAI. Excellent examples along the way. During the lessons from basic stats to ML and GenAI, he goes deep enough to feel like you can use these tools (with a bit of help from ChatGPT here and there for newer models etc.). One issue is that models change quickly and setting up the libraries for the course was tricky at times. The Q&A team came through though and I was able to run all the exercises (still working on the final bonus tensorflow example, as KerasClassifier is deprecated, lol)

Great for high level overview of different topics and lots of great resources. Only downside I can think of is how so much of the hands on activities are simply running provided scripts. While he does encourage you to perform your own activities, I found that the coding aspects I did not retain as well due to this.