I am a student who is currently pursuing a master's degree in machine learning abroad. I have theoretical knowledge and have worked on several projects, but since I learned so quickly, I was not organized, so my code was a mess, and my category work in my head was a mess. However, while taking this course, I am organizing a lot and accumulating code. Of course, if you really want to learn the theoretical part, you should look for another course, but if you want to learn through actual code, I strongly recommend it. It is really fun every day. I am having fun taking the course while implementing the parts that were organized in my head as formulas. In summary, 1. This is not a course for beginners, but I recommend it to those who have some sense of machine learning but are not organized. 2. I highly recommend it if you do not need complicated formulas and want to learn coding. 3. I recommend it to those who know formulas and theories through school classes or studying, but are struggling because they do not know how to apply them in practice. Those who do not recommend it: 1. Want to see hardcore mathematical proofs. I do not recommend it. I recommend Murphy's Machine Learning or Bishop's book. 2. I really don't know anything, but I want to start with this. It seems a little difficult.