The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.
I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.
von Roman S•
Course content and presentation is really good! The only thing i would add is the tuning of hyperparamaters which makes ML what it is.
von SUSHANT B P•
Great course but there should be videos where there is need of explanation on code as well, codes given are very good and covers basic
von Mallangi P R•
I really liked the course content, way of teaching and assignments.
This will definitely help a beginner in data analysis to start with
von Beatriz E P•
Very nice course!! You learn a lot more of the theory than the practice part, but the concepts are well explained and I learned a lot
von manasa k•
A good course to quickly learn important aspects of ML with Python. The assignments and final exam is also very useful for learning.
von fang f•
quite good at the explanation and un-graded exercises.
But the knowledge could be deeper and more about parameters in Sklearn APIs.
von Ankit M•
Goodone for anyone who's a beginner in this field. But I personally suggest you to take the Data Analysis with Python course first.
von Raffaele N•
Although not extremely detailed in the model optimisation part of the work, it is a very useful way to get started on applied ML.
von Sadanand U•
Gives a good overview of regression and classification algorithms . It could have been expanded to other ML algorithms as well.
von Mohitkumar R•
Great course, SO much information and great excercise, In Captone project project guidance need improve,otherwise great course
von Katja M•
It was a hard class - the concepts made sense but it is hard to figure out how to use them without more programming examples.
von Baptiste M•
Very complete course yet full of typos even in the datasets. Lots of information were redundant but an overall great value.
von Eric H•
After taking Andrew Ng's ML course, I still learned some new things here, but this course is rather shallow in comparison.
von Mitchell K•
This course was a great refresher from my data mining course in college, but I think some topics need to be expanded upon
von raviteja g•
A pretty good course to get familiar with supervised learning. Topics on unsupervised learning were moderately explained.
von Stephane A•
I learned a lot and I understood the different clustering algorithms to organize the data like DBSCAN, K-Means and more.
von Ravindra D•
This course gives an introduction to machine learning by giving brief about algorightms such as KNN, Random forest etc.
von Ankit M•
Course study material is excellently organized and presented in crystal clear way, which makes it easy to understand.
von Vasiliki T•
A more demanding peer graded assignment would be an interesting thought for the future! :) thanking you in advance!
von Daksh J•
Nice and easy to learn for basic of machine learning.
Concept are explain in nice way with the help of good example
von Chandrakanth R•
It was exciting and tough course. Lots of materials were covered in the module which at sometimes felt exhaustive.
von Santhosh R B•
Would have been more interactive if the grading was done after each and every week through assignments.
von Thiago C•
The course is good but I will need to start at a beginner level in order to consider reapplying to this course.
von Suhan R•
The course is too short or rather a bit on the lighter side. Expected a bit more heavy and rigorous content.
von Giorgio G•
Great Course, Opportunities for improvement: go a little deeper on the algorithms strengths and weaknesses.