Libraries tagged by machine-learning

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

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Use the K Nearest Neighbors algorithm to predict the probability of a divorce.

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An example project that predicts the risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset of credit card customers.

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Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

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Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

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Laravel package for AWS Rekognition API (PHP 8)

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Framework-agnostic PHP SDK for AI providers with typed results and platform abstraction

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Bayes algorithm implementation in PHP for auto document classification.

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PHP-ML - Machine Learning library for PHP

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Weaviate adapter for EdgeBinder - Vector database relationship management with semantic search capabilities

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A library for machine learning that builds predictions using a linear regression.

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Winston is a AB/split/multivariate testing library utilizing redis and a basic machine learning algorithm for automatically displaying the most successful test variations.

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Predict attribute values for your Laravel Eloquent models using machine learning!

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Dashboard Builder is a PHP based data driven visualization & business analtyc tool, a machine learning delivers insights, written in PHP with an added layer of drag-and-drop flexibility which helps predicting the future with ease and no code required.

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BIIGLE module module for the Machine Learning Assisted Image Annotation method.

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