I successfully completed this course with a 98.9% mark. This course was relatively more focused than the others so far. The machine learning theory that was covered in it was very basic and good for beginners so I skimmed through it fairly quickly. Nevertheless, it was a good refresher of models such as Naive Bayes, Decision Trees and k-Means Clustering. What I found particularly useful was the introduction to the KNIME and Spark ML frameworks and the exercises where one had to apply these ML models to some example datasets.
I think this course and the last one were more hands-on and what I was looking for when I first started this module with a greater focus on ML in the context of Big Data.
And here’s the certificate that I was awarded on completing the course.