NR
Feb 21, 2022
Great course, well structured. The presentation of the different methods is very clear and well separated to understand the differences. A good understanding of classifiers is gained from this course.
AP
Feb 28, 2021
Superb ,detailed, well explained, lots of hands on training through labs and most of the major alogrithms are covered!
Keep up the good work. You guys are helping the community a lot :D
By Nasibkamal A
•May 4, 2024
very good
By Amin D
•Jan 30, 2023
Thanks!
By Maram A A
•Dec 28, 2022
useful
By Saeid S S
•Apr 23, 2022
great
By Pierluigi A
•Dec 27, 2020
great
By Nilesh K
•Jan 17, 2024
Good
By Rohit P
•Oct 16, 2021
Best
By Rui C
•Jan 3, 2024
Everything is satisfactory except for the peer review section. The initial submission faced challenges, primarily attributed to an unfair assessment by one of the peer reviewers. Despite meeting certain requirements unequivocally, such as employing three distinct types of models, this reviewer did not allocate any points or provided an inadequate assessment without clear justification. It seems that many peers have similar experience...
By Dan M
•Jul 21, 2023
This course provided a very useful overview of a wide range of classification techniques using scikit-learn, including the best practice in using the techniques and theoretical underpinning of them. My one criticism would be the repetitive nature of the worked examples. Given the scikit-learn has a consistent format across all the different types of model, the actual coding of each example often followed the same format.
By Wlodek K
•Oct 13, 2023
Very good course, full of information. The downside is that passing tests largely require very good knowledge of English. Sometimes it is more difficult to understand the question and the proposed answers than the substantive value of the question. This applies to all courses in this package.
By MAURICIO C
•Apr 17, 2021
there is a lot of information with machine learning strategies and explain how to think in front of results. Super Course ! JSON files made me confusion, it mentions notebook jupiter files but not.
By Cristiano C
•Jan 18, 2021
Interesting Course, sometimes it skips some arguments that should be, imho, studied a bit deeper (i.e. UP/DOWN sampling), for the rest it's a great course with a great teacher!
By Mihreteab T M
•Jul 18, 2023
Wonderful course but too many syntax and classification types - keeping focused and attentive helps achieve or succeed.
By Keyur U
•Dec 24, 2020
This course is has a detailed explanation on each and every aspect of classification.
By Poke v
•May 15, 2022
Maybe tasks within the weeks lesson could be helpful to build a powerful knowledge.
By Ashraf Z
•Jul 24, 2023
Excellent content. Great, but intense instruction/videos.
By Michael M
•Jun 15, 2022
the material in the last week felt rushed
By AMAR C
•Mar 3, 2024
Great con
By Mohamed E
•Jan 8, 2023
The instructor was very good in drilling deep in the code snippets, explaining what every line does clearly, but on theoretic side of every algorithm, I see the handling was poor, lacks the depth and clarity, many times I looked at an external sources to understand how a model works.
By Meith N
•Jul 15, 2021
Need to cover some basic information and examples too cause directly start from complex examples in the code section
By Khalid M
•Apr 15, 2023
When explaining data and algorithms , it should be explained well with many visualizations and examples , it is very confusing to just show a static photo and telling many explanations on it
By Deepak R
•Jul 18, 2023
they did not have my name on my certificate