W Brett Kennedy – Medium

W Brett Kennedy

Featured Book

Outlier Detection in Python

Outlier Detection in Python

Outlier detection in python. Covers algorithms, explainability, ensembles, testing, managing ongoing projects.

2024

Stories

Published in
Towards Data Science

Perform Outlier Detection More Effectively Using Subsets of Features

Identify relevant subspaces: subsets of features that allow you to most effectively perform outlier detection on tabular data

Nov 24

Perform Outlier Detection More Effectively Using Subsets of Features

Nov 24

Published in
Towards Data Science

Solving the classic Betting on the World Series problem using hill climbing

A simple example of hill climbing — and solving a problem that’s difficult to solve without optimization techniques

Nov 10

Solving the classic Betting on the World Series problem using hill climbing

Nov 10

Published in
Towards Data Science

A Simple Example Using PCA for Outlier Detection

Improve accuracy, speed, and memory usage by performing PCA transformation before outlier detection

Nov 2

A Simple Example Using PCA for Outlier Detection

Nov 2

Published in
Towards Data Science

An Introduction to Using PCA for Outlier Detection

A surprisingly effective means to identify outliers in numeric data

Oct 22

An Introduction to Using PCA for Outlier Detection

Oct 22

Published in
Towards Data Science

FormulaFeatures: A Tool to Generate Highly Predictive Features for Interpretable Models

Create more interpretable models by using concise, highly predictive features, automatically engineered based on arithmetic combinations of…

Oct 6

FormulaFeatures: A Tool to Generate Highly Predictive Features for Interpretable Models

Oct 6

Published in
Towards Data Science

Shared Nearest Neighbors: A More Robust Distance Metric

A distance metric that can improve prediction, clustering, and outlier detection in datasets with many dimensions and with varying…

Sep 19

Shared Nearest Neighbors: A More Robust Distance Metric

Sep 19

Published in
Towards Data Science

Achieve Better Classification Results with ClassificationThresholdTuner

A python tool to tune and visualize the threshold choices for binary and multi-class classification problems

Sep 7

Achieve Better Classification Results with ClassificationThresholdTuner

Sep 7

Published in
Towards Data Science

Distance Metric Learning for Outlier Detection

An outlier detection method that determines a relevant distance metric between records

Aug 20

Distance Metric Learning for Outlier Detection

Aug 20

Published in
Towards Data Science

Create Stronger Decision Trees with bootstrapping and genetic algorithms

A technique to better allow decision trees to be used as interpretable models

Aug 9

Create Stronger Decision Trees with bootstrapping and genetic algorithms

Aug 9

Published in
Towards Data Science

Doping: A Technique to Test Outlier Detectors

Using well-crafted synthetic data to compare and evaluate outlier detectors

Jul 9

Doping: A Technique to Test Outlier Detectors

Jul 9

W Brett Kennedy

W Brett Kennedy

Book Author

Author of Outlier Detection in Python. www.linkedin.com/in/wbkenn/, github.com/Brett-Kennedy, www.manning.com/books/outlier-detection-in-python

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