In my opinion this is one of the best courses in Big Data specialization. I hghly recommend it, because of the theory AND practical tasks.

I was expecting a deeper coverage of the ML algorithm, however the course was fun and it was useful for me to get acquainted with KNIME

There was a good explanation of concepts, but I think it was possible to include more themes or empathize more in other techniques.

This course gives a good overview of the main machine learning techniques to analyze data using either spark or a GUI tool (KNIME).

great course, felt it was a bit basic for some stuff, would've liked more hands on.

Liked working with 2 tools, KNIME and Pyspark

Generally its good content. However the VM setup is still horrible. Many time wasted on debugging and set up environment.

The concepts in the course are very good but very basics in machine learning, it's a good introduction to knime and spark

Good course for new comers. Regression and Clustering concepts were explained in very high level and need some in depth.

Very interesting course that will help us to understand how machine learning course works and also to analyze data.

Spark was too much for my machine to handle, but working with Knime was a nice visual and guided experience to ML.

Very practical and interesting course! Ideal for people who does not have previous knowledge in Machine Learning.

not enough work in the other machine learning models (the course centered the main part of it to classification )

105/5000

I lack to have more examples of a complete solution, applying all the concepts in a generic problem.

The instructor is explaining well. But still in some weeks there is a gap between the Hands on and theories

it was very useful for me to get knowledge about Machine Learning with somehow details and reminded me wh

El curso es bueno, falta mayor soporte por parte de los tutores para la resolución de problemas .

It fullfilled my expectations, and created the motivation to further increase my knowledge of ML

Good course.It would be really completed if we go on in details of different analysis algorithms

The didactic qualities of the lecturer greatly compensate the lack of support and maintenance.

Good but too much theory without practicing at the same time. It gets boring sometimes.

It was brief and comprehensive , Got to learn various technologies like Knime and Spark

Needed more clear instructions in each module else a very good course to understand ML

The course was great. Lost of great content, pedagogically sound! I leaned a whole lot

This was a good introductory class to machine learning, but I wish it had more depth.

Mentors please reply in the discussion forums so that we can clear our doubts