excellent course

Very nice course

its really good

Great Course !

Great Course !

Well explained

Great course!

Great course

Excelenete

its hard

awsome

good

Overall is a practical and interesting course. Sometimes the quizes or assignments are not direct related to the lecture, however you can get to the point thinking a little. Will be important to update the XL Miner explanations because the software is currently more up to date than was shown. Additionally, even we get lot of practical exercises where you can identify robustness and types of models, for me is not still clear how to get a predictive model for my daily use. Expect to cover that on further lectures.

I really enjoyed this course, but I did struggle more than I should have with the software tools. In many cases, my version of the tool (the latest) did not match the instructor's version, and I worked to translate my version to his, and that's not a good use of my time. That said, the material was interesting, and the professor did a great job presenting it. I would recommend the course, but I would recommend that you learn to get the results not just in XL Miner, but in R or some other software, as well

This course mainly aims at someone who knows about econometric regression and basics of ML algorithms. To me, I had little problem in understanding some concepts in ML as I didn't know all algorithms in detail. However, I put effort to read the basics of each algorithm and then watched the lectures. Thank you Professor Dan Zhang

Very interesting course that covers a lot, which is good in that it gives exposure to different mining techniques, but bad in that I feel very far from mastering the techniques. Each mining technique could be its own course. Course could do a better job of explaining how to interpret the model outputs.

The knowledge and information are very useful. However, the choice of software is poor. It took a few times (days) to install/uninstall to make it finally worked. Once it was running, it was unstable, malfunctioning unpredictably. A better software should be use for this class in future.

Don't mind the negative reviews. Most issues are years old and have been fixed. Didn't face a single issue. The course Does require an additional tool to complete assignment which is only free for 15 days. Also the accent of the professor is hard to understand.

Very good course for understanding Regression, classification. Other advance predictive models like trees, random forest, neural networks are covered fast. Could have been little more lengthy sessions.

instructor is very fast in explaining concepts.

The instructor's tone was difficult to Interpret. It was not fluent and pronunciations were uneasy. Overall content was excellent, though there must have been examples after terms explanation rather than one complete video at end

The course is a great course.

The only difficulity I had was in the last assessment where we had to use XLMiner. I was not able to use it properly as I had difficulity loading it on my computer because of the Windows version.

it is really a good course which helps me to understand the basic knowledge of data mining in which I learned about logistic and linear regression and also about boosting, bagging, and random forest.

Professor is a little tough to understand, so I had to read the transcript during some of the videos. However, once I got the XLMiner issues resolved, it continued to be a great class and experience.

Really like the course and learned a lot. Wish that the quizzes didn't offer as much guidance on the steps to use XL Miner. Because this is given, it's not fully testing students on the material

A good introduction to various techniques of predictive modeling. To better understand, further study on the topics is necessary.