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.
this course is just awsome, with some basic knowledge of data manipulation anyone would enjoy this course.
par Akash P•
Great content,clarity and informative.Assignment were perfectly framed to revise all the studied concepts.
par 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.
par Julio G C•
It is exactly what you need to begin in datascience.
Very good client's service if you've some problem.
par 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.
par Channaveer P•
Excellent course. Enables student to understand multi variable regression and comparing accuracies.
par Policarpio S•
I really enjoyed this course. The material was concise and allows me to get up and running with ML.
par Gustavo E L•
With this course, you can develop an important skill for the final steps of a data science project.
par Yadder A•
It's the best course I've taken. It has all the basics about machine learning algorithms and more.
par Yap Y A•
Instructor was clear in his explanation. Would prefer to have more hands on exercise for practice
par Weiqun T•
This is a very good basic course for machine learning. I got the basic ideas and skills for it.
par Сетдеков К Р•
Great course! Very useful to train using advanced classification models and ensemble learning.
par Krishna P•
Very good content for beginner, lot of learning in machine learning special caret package in R.
par Enrique A M•
Mil Gracias Maestro Roger y demas docentes, Mil gracias U. John Hopkins, Mil Gracias Coursera.
par Gustavo C G•
Excellent introduction to machine learning. Great examples and detailed explanations, as usual
par Theodoros M•
Practical ML is a great course, that provides training in the practical aspects of the topic.
par Wesley E•
Great introduction with a broad set of tools and plenty of resources for more in depth study.
par André C L•
very good practical experience using machine learning models, especially regarding PCA usage
par Raunak S•
a very good course for those wanting to learn Machine Learning to implement in Data Science.
par Tristan F•
Lectures were very clear and helpful! Professor Leek was great at breaking down the topics.
par Oleksandr K•
Great course! However, it would be good to learn about artificial neural networks as well.
par Jean N•
Very nice Course. I am applying it right away for Predictions in the Telecoms environment.
par Tomer E•
Covers basics of machine learning algorithms and how to implement them in R.