Machine Learning for Data Analysis
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| Rating | 3.9★ based on 54 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jul 3 (46 weeks ago) |
| Cost | $79 |
| From | Wesleyan University via Coursera |
| Instructors | Jen Rose, Lisa Dierker |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Programming |
| Tags | Data Science Data Analysis Machine Learning |
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What people are saying
machine learning
It's easy and I've learnt what I need to apply the machine learning techniques.
I definitely appreciate this information on Machine Learning.
Excellent course, some basic tecniques of Machine Learning are implemented in Python and SAS.
I recommend to anyone who's interested in data analysis and machine learning.
Good introduction with python example for famous algorithm such as random forest and k-mean Actually i want rate 0, as the instruction for the installation of new tools are quite vague and misleading This level of detail was good for easier statistical concepts but there are much better courses on Coursera for Machine Learning It's not an intro class.
A good introduction to Machine Learning.
Update After actually studying Machine Learning for months: A pretty intro to the world of ML.
Any way all of these problems and maybe some more are not a reason for someone who wants to start machine learning to not participate in that course especially if he is a pythonist.
It is the beginning to machine learning, and you can try more classes about it.
This is good course This was a concise course about machine learning that covered Decision Trees, Random Forests, Lasso Regression and K-means Cluster Analysis in SAS or Python.
Off course, this course is not enough for learning machine learning.
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for data analysis
I thought the course was a fantastic way to introduce these concepts, which are becoming more widely used for data analysis все супер Unfirtunately superficial and outdated view on the subject.
This is probably useful for people wanting to learn techniques for data analysis, who need not go too deep into the technique.
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introductory course
I have to watch other videos in youtube to get a better grasp of the concepts.Good thing is that this is an introductory course, and the codes are given.
A must to do introductory course.
data sets
I was hoping for more practical exercises on different types of data sets along with how to improve model accuracy in various algorithm taught.
It is definitely a good one and easy to understand... What I mostly struggled was with the data sets which were hard to find... probably if some data sets would have been provided would have really helped - would have been easier to run the program through with multiple sets and see the best results across.
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| Rating | 3.9★ based on 54 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jul 3 (46 weeks ago) |
| Cost | $79 |
| From | Wesleyan University via Coursera |
| Instructors | Jen Rose, Lisa Dierker |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Programming |
| Tags | Data Science Data Analysis Machine Learning |
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