Complete Outlier Detection Algorithms A-Z: In Data Science

Outlier Detection Algorithms in Data Science, Machine Learning, Deep Learning, Data Analysis, Statistics with Python
3.96 (49 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Complete Outlier Detection Algorithms A-Z: In Data Science
351
students
1.5 hours
content
Sep 2020
last update
FREE
regular price

What you will learn

Understand the fundamentals of Outliers

You will learn outlier algorithms used in Data Science, Machine Learning with Python Programming

You will learn both theoretical and practical knowledge, starting with basic to complex outlier algorithms

You will learn approaches to modelling outliers / anomaly detection

Determine how to apply a supervised learning algorithm to a classification problem for outlier detection

Apply and assess a nearest-neighbor algorithm for identifying anomalies in the absence of labels

Apply a supervised learning algorithm to a classification problem for anomaly and outlier detection

Make judgments about which methods among a diverse set work best to identify anomalies

Screenshots

Complete Outlier Detection Algorithms A-Z: In Data Science - Screenshot_01Complete Outlier Detection Algorithms A-Z: In Data Science - Screenshot_02Complete Outlier Detection Algorithms A-Z: In Data Science - Screenshot_03Complete Outlier Detection Algorithms A-Z: In Data Science - Screenshot_04
Related Topics
3524132
udemy ID
9/24/2020
course created date
9/29/2020
course indexed date
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