[Course Review] Outlier Detection Algorithms in Data Mining and Data Science

Introduction : 

Course Name "Outlier Detection Algorithms in Data Mining and Data Science" Help To Learn Outlier Detection Algorithms . The Technique is Important On Data Science . 

Implement Area: 

outlier detection algorithms usefull in following areas- Data Mining, Machine Learning, Data Science, Pattern Recognition, Data Cleansing, Data Warehousing, Data Analysis, and Statistics.

What Will You Learn :

Outlier Detection Algorithms Let You Learn four algorithms for detection outliers in Univariate space, two algorithms in multivariate space and also learn innovative algorithm for detection outliers in high-dimensional space.

What instructor say:

The course is suitable for everyone, even if you have no background in statistics and linear algebra. The most important thing is desire to learn.

What Student Say : 

Students Who Have Taken This Course Put 4.4 Ratings out Of 5 based on 27 ratings . 

Take a look Of few Students review-

Good starting point for beginners. I recommend it- Tõnis Argus [ january 2018 ] 

This course covers just enough theory and practical approaches to the topic making it a perfect learning experience. - Tyler Marrs [ December 2017 ]

Can't wait to start using what is being teach here! Very well explained in clear language. Very pleased - Jane Bouck [ December 2017 ]

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