Practical Machine Learning

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8/10 stars
based on  2 reviews
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Course Details

Cost

FREE,
Add a Verified Certificate for $49

Upcoming Schedule

  • Upcoming

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4907 reviews

Course Description

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.
Practical Machine Learning course image
Reviews 8/10 stars
2 Reviews for Practical Machine Learning

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Atheer Al Attar profile image
Atheer Al Attar profile image
8/10 starsCompleted
  • 3 reviews
  • 3 completed
4 years, 5 months ago
Same issue that the data specialization started running through in the last two courses (Fast and Crammed delivery) Dr. Leek pace of lecturing is fast and there is a lot of math and unexplained steps. I had to revert back to the web many times and to watch youtube videos to get more grip in some places. The links he provides at the end of each lecture were good and useful. One of the issue that I have missed is a complete approach on how to start your model ending with the best practices for testing and validation. I am planning [as per Dr. Leek hint] to take Dr. Andrew Ng course on Machine Learning by Stanford as I watched couple lectures on YouTube and they are just great and simple. Good Luck for you if you plan to take this course, not intending to turn you down but you will need extra reading and Video watching
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Nirav Desai profile image
Nirav Desai profile image
10/10 starsCompleted
  • 9 reviews
  • 9 completed
4 years, 7 months ago
This is a very useful course in Machine Learning that teaches us how to use the R based packages such as CARET for applying machine learning techniques. The course project helps understand how these techniques are applied in real world applications and develop useful insights.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.