recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course
Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.
автор: benjamin s•
Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content
автор: Philippine R•
I learned so much in such a short period of time. Challenging, very hands on, great theoretical foundations!
автор: asma m•
The professor has a very clear lecture, brief and persistent comparing to others. I just love this course .
автор: Michael H•
Excellent breadth; only major issues have to do with Github challenges related to rendering HTML properly.
this course is just awsome, with some basic knowledge of data manipulation anyone would enjoy this course.
автор: Akash P•
Great content,clarity and informative.Assignment were perfectly framed to revise all the studied concepts.
автор: HARSH L•
Awesome course giving a practical experience of a Data Scientist.
Perfect place to get your hands dirty! :)
Great intro to machine learning. Covers the basics to allow you to being using ML concepts on your own.
автор: Julio G C•
It is exactly what you need to begin in datascience.
Very good client's service if you've some problem.
автор: Charbel L•
Excellent course. Shows how simple it is to start running models with machine learning...! Well done
great!!! In this lecture, I learn how to write R code to analyze data with Machine learning methods.
автор: Channaveer P•
Excellent course. Enables student to understand multi variable regression and comparing accuracies.
автор: Policarpio S•
I really enjoyed this course. The material was concise and allows me to get up and running with ML.
автор: Gustavo E L•
With this course, you can develop an important skill for the final steps of a data science project.
автор: Yadder A•
It's the best course I've taken. It has all the basics about machine learning algorithms and more.
автор: Yap Y A•
Instructor was clear in his explanation. Would prefer to have more hands on exercise for practice
автор: Weiqun T•
This is a very good basic course for machine learning. I got the basic ideas and skills for it.
автор: Кирилл С•
Great course! Very useful to train using advanced classification models and ensemble learning.
автор: Krishna P•
Very good content for beginner, lot of learning in machine learning special caret package in R.
автор: Enrique A M•
Mil Gracias Maestro Roger y demas docentes, Mil gracias U. John Hopkins, Mil Gracias Coursera.
автор: Gustavo C G•
Excellent introduction to machine learning. Great examples and detailed explanations, as usual
автор: Theodoros M•
Practical ML is a great course, that provides training in the practical aspects of the topic.
автор: Wesley E•
Great introduction with a broad set of tools and plenty of resources for more in depth study.
автор: André C L•
very good practical experience using machine learning models, especially regarding PCA usage
автор: Raunak S•
a very good course for those wanting to learn Machine Learning to implement in Data Science.