HERE IS WHY YOU SHOULD TAKE THIS COURSE:
This course your complete guide to both supervised & unsupervised learning using R…
That means, this course covers all the main aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on R based data science.
In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised & supervised learning in R, you can give your company a competitive edge and boost your career to the next level.
LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:
My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.
I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.
Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic…
This course will give you a robust grounding in the main aspects of machine learning– clustering & classification.
Instructor Details
Courses : 17
Specification: Clustering & Classification With Machine Learning In R
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26 reviews for Clustering & Classification With Machine Learning In R
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Price | $14.99 |
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Provider | |
Duration | 8 hours |
Year | 2021 |
Level | All |
Language | English |
Certificate | Yes |
Quizzes | Yes |
$84.99 $14.99
Danielled.jernigan –
lovely lecture so easy to learn….
Dyanah –
Thanks, nice course
Louettaw Monty –
great
Genev –
Very nice lectures.
Mitchell Tan –
greatteaching…..
Amol Karnik –
Answers just those queries that would trouble me a lot
Pratheeksha G –
yes
Anil Kumar Pandey –
This course is very useful for me
Greta Wong –
Verry hands on course and it covers so many techniques
Jaculam Wilson –
Go for this course if you want to polish your existing skillset. Covers from basic to advance topics!
Anya Rao –
This is a very detailed course on classification and clustering
Shendip Mahesshori –
Learn the basics of machine learning techniques with no time. Therefore this makes it a comprehensive course.
sushma Pandey –
Informative and extraordinary
Nosto Chele –
You will learn Clustering & Classification properly With Machine Learning In R. But, it can be organized better with chapters and appropriate headings.
Lora Adams –
This course was very helpful for me. Minerva has a lot of knowledge to share with us .
Prince Stefen –
Well structured and to the point. You can get the essential concepts related to machine learning. Keep up the good work.
Pavel Khan –
I like your pace of the lessons and I am surprised that there aren’t many more students enrolled.
Alexia Kounoudes –
During this lecture it was a bit hard to follow the instructor and understand what she is doing.
Anushka Jones –
Very deep course and R based data processing techniques
Lary Lim –
Professional instructor. very interesting course. her method in explaining the information is very good. the course is very helpful for me.
Jo Johnny –
Quite a collection of algorithms and their applications
Debasis Panigrahy –
Its a great experience by going through the lessons . Really helpful in knowing so many different approaches of applying the algos through different available packages in R. Conceptually very well explained. Thank you very much for your efforts.
Sarah Dalton –
Concise and always to the point. Like the addition materials. Easy to understand and follow.
Paula Junior –
What can I say about Minerva Singh?!!!! She is AMAZING!!!!! She is so knowledgeable, extremely thorough and provides practice application. I learned so much in this class that I have never experienced in other classes. I cannot wait to get to the end of this class to take more classes with her.
Ashwani –
I get a lot of knowledge from this course. Obsoletely an outstanding course
Demitri Tauvin –
The course was useful and I’ll definitely make use of the ideas.