Outlier Detection Algorithms in Data Mining and Data Science

Outlier Detection is primary step in Data Mining, Data Science, Machine Learning, Data Analysis and Statistics.

What Will I Learn?

• At the end of the course each student not only will recognize a variety of techniques, but also know to implement them.
• Course includes a wide range of quizes

Includes:

• 2.5 hours on-demand video
• 10 Supplemental Resources
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion

Who is the target audience?

• Knowledge Discovery Process or Research is composed of few stages, and one of them is Cleaning data. The course is suitable for everyone who perform Empirical Research or Data Analysis.
• Most of us looking for outliers in the focus of cleaning data from the sample, but there are researches for whom outliers is their source of data. The course is suitable for everyone who interested in Fraud Detection.

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