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