AA

Got to many techniques like boosting, bagging, Neural networks, regression tress etc.. Useful and informative course

TN

Good course to give a basic understanding of predictive modelling and analytics. Good assignments and opportunity to review peer submissions help reinforce the learnings.

H

I really enjoyed every aspect of the class it was well designed and the excises were both enjoyable and informative.

SS

Really good course, The videos are very precise and short, lot of learning, Loved this course

MZ

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

AA

It has been very exciting and an eye-opening for me. I am getting into the world of data analytics gradually. Thanks for this great opportunity.

SG

Very nice course, everything is up to the point very clean and clear explanation of concepts with examples and practical illustrations.

YY

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.

RM

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.

CW

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

OD

Even though a basic math background is needed, this course is extremely simplified for understanding and being really useful introduction to Predictive modeling.

PC

some items were unclear, the definitions, the explanation, the examples were necessary. however, I could google to get those.