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The Official Blog of BigML.com

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Tag: Feature Selection

September 13, 2019 Algorithms / automl / Feature Engineering / Machine Learning / Product / WhizzML

AutoML: BigML Automated Machine Learning

Last year, BigML launched the OptiML resource for Automatic Model Optimization. Without a doubt, it has marked a milestone in

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February 5, 2019 Gallery / Scripting / WhizzML

Comparing Feature Selection Scripts

In this series about feature selection, the first three posts covered three different WhizzML scripts that can help you with this

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January 29, 2019 Gallery / Scripting / WhizzML

Automated Best-First Feature Selection

In this third post about feature selection scripts in WhizzML, we will introduce the third and final algorithm, Best-First Feature Selection

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January 22, 2019 Gallery / Scripting / WhizzML

Simple Boruta Feature Selection Scripting

In the previous post of this series about feature selection WhizzML scripts, we introduced the problem of having too many

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January 15, 2019 Gallery / Python / Scripting / transformations / WhizzML

Practical Recursive Feature Selection

With the Summer 2018 Release Data Transformations were added to BigML. SQL-style queries, feature engineering with the Flatline editor and options to merge and join datasets

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August 4, 2016 Flatline / Importance / Machine Learning / Random Decision Forest / Scripting / WhizzML

Feature Selection not only for Programmers

Nowadays, many knowledge workers have access to lots of data that can be analyzed to extract interesting insights. This has brought people

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April 28, 2015 Importance

How BigML Finds Important Variables in Wide Datasets

This blog post is based on a talk I gave at the Dare2Data conference in Madrid. I recently found a

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May 15, 2014 API / BigML.io / BigMLer / Machine Learning / New Features

Follow your data’s inner voice! Evaluation-guided techniques for Machine Learning

Spring has come, and the steady work of gardening data is starting to bloom in BigML. We’ve repeatedly stressed in our

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February 26, 2014 API / Machine Learning

Smart Feature Selection with scikit-learn and BigML’s API

When trying to make data-driven decisions, we’re often faced with datasets that contain many more features than what we actually

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