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Feature Extraction Application and Tools

Analytics Vidhya

Feature extraction is a process used in machine learning and pattern recognition to create quasi-effective. additionally that can be used for improved human understanding. When there is too much data…...

6.2. Feature extraction

Scikit-learn User Guide

The sklearn.feature_extraction module can be used to extract features in a format supported by machine learning algorithms from datasets consisting of formats such as text and image. Loading featur......

Feature Engineering for Machine Learning with Picture Data

Towards Data Science

Fight the curse of dimensionality Continue reading on Towards Data Science

Feature Extraction Techniques

Towards Data Science

It is nowadays becoming quite common to be working with datasets of hundreds (or even thousands) of features. If the number of features becomes similar (or even bigger!) than the number of…

What Is Feature Engineering

Kaggle Learn Courses

Welcome to Feature Engineering! In this course you'll learn about one of the most important steps on the way to building a great machine learning model: *feature engineering*. You'll learn how to: - ...

Why and What is Feature Engineering in ML?

Towards AI

Introduction It is a process of feature transformation and selection or extraction to make the improved data for a machine learning model. It depends on the data science person to handle and improve t...

“MLshorts” 10: What is Feature Engineering

Python in Plain English

Simple and clear explanations Photo by ThisisEngineering RAEng on Unsplash What is it? 🤔 Let’s start by explaining what is “features” actually. Feature, in Machine Learning, is a measurable property...

Feature extraction and challenges

Analytics Vidhya

It becomes complex to train machine learning models when the dataset has a greater number of features. Less the features, the better the performance of the model. Machine learning model starts…

What is Feature Engineering in Machine Learning and why do we need it?

Python in Plain English

Horizontal Bar plot (Author’s image) The article will address the central concept of Feature Engineering, the objectives it tries to address, mutual information, and some code implementation to unders...

The Hitchhiker’s Guide to Feature Extraction

Towards Data Science

TLDR; this post is about useful feature engineering methods and tricks that I have learned and end up using often. Featuretools is a framework to perform automated feature engineering. It excels at…

Feature Engineering with Image Data

Towards Data Science

Cropping, grayscale, RGB channels, intensity thresholds, edge detection and colour filters Continue reading on Towards Data Science

What is Feature Engineering?

Towards Data Science

It can be difficult to find any sort of consensus on what “feature engineering” specifically refers to. My goal for this post is to provide an introduction to this very broad, yet fundamental aspect…