Our study group worked with the Udemy Online Course “Machine Learning A-Z: Hands-On Python & R in Data Science”. We had no prior practical experience with Machine Learning. We started off with some basic skills in Python, but haven’t worked with R. Math knowledge ranges from high school to undergrad level.
The course is one of the most popular Machine Learning courses on Udemy. There are more than 120.000 students enrolled, 19.788 ratings and it scores 4.4 out of 5 stars.
The course material includes
– 40.5 hours on-demand video
– 19 articles
– 2 supplemental resources
– Full access (lifetime)
– Access on mobile and TV
– Certificate of completion
all for a price of 10 bucks or 1200 Yen. There were some great things, and some not so great things. We will keep this short and give you the most important facts.
- Great for beginners with no prior experience
- Gives a solid overview of Machine Learning
- Good balance of theory and practical work
- Folders, data, templates are well prepared
- It’s fun and not too challenging
What’s not so great?
- Limited explanation on code and libraries
- Doesn’t introduce Seaborn for visualizing
- Doesn’t introduce Data Exploration with Pandas
- Towards the end the whole procedure is more of a copy-paste of existing templates, than writing code and examining what’s been done
But then again, it’s still a ML course for beginners. It triggered my curiosity to go deeper, that’s all one could ask for at this stage. So it was definitely worth the time and effort.