Libraries tagged by data science

Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and the results of 102,944 sample games.

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

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

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An example project that predicts if Titanic passenger survives for a Kaggle competition using a Random Forest classifier.

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PHP-ML - Machine Learning library for PHP

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High-performance Tensor library for PHP utilizing FFI, OpenBLAS, and zero-copy memory operations.

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PHP wrapper to connect with AddContext.io API and save context snapshots based on events/actions

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PHP-ML - Machine Learning library for PHP

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PHP-ML - Machine Learning library for PHP

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PHP-ML - Machine Learning library for PHP

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PHP-ML - Machine Learning library for PHP

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PHP SDK for programmatically connecting to Apache Drill.

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Predicting buying intent in the post cookie world!

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Original Proposal: Using the right data structure or algorithm for the situation is an important aspect of programming. In computer science literature, many data structures and algorithms have been researched and extensively documented. However, there is still no standard library in Php implementing useful structures and algorithms like Red/Black Trees, tries, different sorting algorithms, etc. This project will create such a library with documentation on when to use a particular structure/algorithm. It will also come with a benchmark suite to compare performance in different situations.

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