автор: Brian U•
Perhaps it's not fair to compare this to full Coursera courses I have taken in the past, but I was disappointed that the built-in Colab notebook was clunky and there was a time limit on using it! I realized later that I could go to the resources section and download a .ipynb file to use in my own jupyter notebook. That made a huge difference! Otherwise, the course gave examples of how to use the four ML libraries and I was able to fill in some of the details afterwards.
автор: Sebastian D A•
Very complete for a small 2 hour project! But Please write some parts of the code on the next project, because the pace is too fast, and the notebooks are empty!
автор: Yanan Y•
автор: Ramces M•
автор: Celina S•
It explains well how to prepare data, create models, train them and evaluate them in the test set. Sadly, it does not explain how to retrain the models and forecast for future dates instead of just the test set, which I think it's the most challenging part.