Отзывы учащихся о курсе Практическое компьютерное обучение от партнера Университет Джонса Хопкинса

Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content

I learned so much in such a short period of time. Challenging, very hands on, great theoretical foundations!

The professor has a very clear lecture, brief and persistent comparing to others. I just love this course .

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.

Great content,clarity and informative.Assignment were perfectly framed to revise all the studied concepts.

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.

It is exactly what you need to begin in datascience.

Very good client's service if you've some problem.

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.

Excellent course. Enables student to understand multi variable regression and comparing accuracies.

I really enjoyed this course. The material was concise and allows me to get up and running with ML.

With this course, you can develop an important skill for the final steps of a data science project.

It's the best course I've taken. It has all the basics about machine learning algorithms and more.

Instructor was clear in his explanation. Would prefer to have more hands on exercise for practice

This is a very good basic course for machine learning. I got the basic ideas and skills for it.

Great course! Very useful to train using advanced classification models and ensemble learning.

Very good content for beginner, lot of learning in machine learning special caret package in R.

Mil Gracias Maestro Roger y demas docentes, Mil gracias U. John Hopkins, Mil Gracias Coursera.

Excellent introduction to machine learning. Great examples and detailed explanations, as usual

Practical ML is a great course, that provides training in the practical aspects of the topic.

Great introduction with a broad set of tools and plenty of resources for more in depth study.

very good practical experience using machine learning models, especially regarding PCA usage

a very good course for those wanting to learn Machine Learning to implement in Data Science.