Outlier Detection Algorithms in Data Mining and Data Science

Outlier Detection Algorithms in Data Mining and Data Science, available at $39.99, has an average rating of 4, with 13 lectures, 12 quizzes, based on 217 reviews, and has 2200 subscribers.

You will learn about This course brings you both theoretical and practical knowledge, starting with basic and advancing to more complex outlier algorithms You can hone your programming skills because all algorithms you’ll learn have implementation in PYTHON, R and SAS This course is ideal for individuals who are Data Scientist or Analyst or You are interested in fraud detection for credit cards, insurance or health care, intrusion detection for cyber-security, or military surveillance for enemy activities and et cetera It is particularly useful for Data Scientist or Analyst or You are interested in fraud detection for credit cards, insurance or health care, intrusion detection for cyber-security, or military surveillance for enemy activities and et cetera.

Enroll now: Outlier Detection Algorithms in Data Mining and Data Science

Summary

Title: Outlier Detection Algorithms in Data Mining and Data Science

Price: $39.99

Average Rating: 4

Number of Lectures: 13

Number of Quizzes: 12

Number of Published Lectures: 13

Number of Published Quizzes: 12

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: $64.99

Quality Status: approved

Status: Live

What You Will Learn

This course brings you both theoretical and practical knowledge, starting with basic and advancing to more complex outlier algorithms

You can hone your programming skills because all algorithms you’ll learn have implementation in PYTHON, R and SAS

Who Should Attend

Data Scientist or Analyst

You are interested in fraud detection for credit cards, insurance or health care, intrusion detection for cyber-security, or military surveillance for enemy activities and et cetera

Target Audiences

Data Scientist or Analyst

You are interested in fraud detection for credit cards, insurance or health care, intrusion detection for cyber-security, or military surveillance for enemy activities and et cetera

Welcome to the course ” Outlier Detection Techniques “.?

Are you Data Scientist or Analyst or maybe you are interested in fraud detection for credit cards, insurance or health care, intrusion detection for cyber-security, or military surveillance for enemy activities?

Welcome to Outlier Detection Techniques, a course designed to teach you not only how to recognise various techniques but also how to implement them correctly. No matter what you need outlier detection for, this course brings you both theoretical and practical knowledge, starting with basic and advancing to more complex algorithms. You can even hone your programming skills because all algorithms you’ll learn have implementation in PYTHON, R and SAS.

So what do you need to know before you get started? In short, not much! This course is perfect even for those with no knowledge of statistics and linear algebra.

Why wait? Start learning today! Because Everyone, who deals with the data,? needs to know??“Outlier Detection Techniques”!

The process of identifying outliers has many names in?Data Mining?and?Machine learning?such as outlier mining, outlier modeling, novelty detection or anomaly detection. Outlier detection algorithms are useful in areas such as:?Data Mining, Machine Learning,?Data Science,?Pattern Recognition, Data Cleansing, Data Warehousing,?Data Analysis, and Statistics.

I will present you on the one hand, very popular algorithms used in industry, but on the other hand, i will introduce you also new and advanced methods developed in recent years, coming from Data Mining.

You will learn algorithms for detection outliers?in Univariate space, in Low-dimensional space and also learn innovative algorithm?for detection outliers in High-dimensional space.

I?am convinced that only those who are familiar with the details of the methodology and know all the stages of the calculation, can understand it in depth. So, in my teaching method, I put a stronger emphasis on understanding the material, and less on programming. However, anyone who interested in programming,?I?developed all algorithms?in R , Python and SAS,? so you can download and run them.

List of?Algorithms:

Univariate space:

1. Three Sigma Rule ( Statistics ,?R + Python + SAS?programming languages)

2. MAD ( Statistics?,?R + Python?+ SAS programming languages )

3. Boxplot Rule ( Statistics?,?R + Python?+ SAS programming languages )

4. Adjusted?Boxplot Rule?( Statistics?,?R + Python?+ SAS programming languages )

Low-dimensional Space :

5. Mahalanobis Rule?( Statistics?,?R + Python?+ SAS programming languages )

6. LOF – Local Outlier Factor ( Data Mining?,?R + Python?+ SAS programming languages)

High-dimensional Space:

7. ABOD – Angle-Based Outlier Detection?( Data Mining?,?R + Python?+ SAS programming languages)

I sincerely hope you will enjoy the course.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Outlier Detection

Lecture 2: Mean, Median and Variance

Chapter 2: Detection Outliers in Univariate space

Lecture 1: Three Sigma Rule

Lecture 2: Masking and Swamping effects

Lecture 3: MAD Rule

Lecture 4: Boxplot Rule

Lecture 5: Adjusted Boxplot Rule

Chapter 3: Detection Outliers in Multivariate space

Lecture 1: Introduction to Linear Algebra, Part1

Lecture 2: Introduction to Linear Algebra, Part2

Lecture 3: Mahalanobis Rule

Lecture 4: LOF – Local Outlier Factor

Chapter 4: Detection Outliers in High-Dimensional space

Lecture 1: ABOD – Angle-Based Outlier Detection

Chapter 5: Final

Lecture 1: Final Lecture

Instructors

KDD Expert
Data Scientist

Rating Distribution

1 stars: 14 votes

2 stars: 17 votes

3 stars: 30 votes

4 stars: 61 votes

5 stars: 95 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!