I often find myself sending links to Udemy courses. I decided it would help to make a blog post for quick reference, and to share.
Machine learning courses with Python:
Python for Data Science and Machine Learning Bootcamp (Python, Pandas, Numpy, Scikit-Learn) by Jose Portilla. I bought this one because it has sections on Numpy and Pandas. I’m working through this course first, to try to get a foundation for the others.
Introduction to Computer Vision (OpenCV and Python) by Rajeev Ratan. I bought this one because it specifically mentions it uses Python with OpenCV.
Computer Vision A-Z (OpenCV) by Kirill Eremenko and others. Kirill Eremenko is excellent at giving an intuition for how an algorithm works. I have used his other statistics/machine learning courses in the past, and found his teaching style extremely helpful.
Data Science, Deep Learning, & Machine Learning with Python (Python, Pandas, Apache Spark) by Frank Kane. This course has Apache Spark in the curriculum, so I bought it. I also just like to have multiple courses covering each topic, because it is helpful to intuition to see a topic explained in a few different ways.