Spam classification application written in PHP and the Rubix ML library. The Random Forest classifier was used for classification.
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Updated
Jun 9, 2024 - PHP
Spam classification application written in PHP and the Rubix ML library. The Random Forest classifier was used for classification.
Human resources system of the National Search and Rescue Agency (Basarnas) with Gaussian Mixture Modeling analysis
A standalone inference server for trained Rubix ML estimators.
Sistem Pendukung Keputusan untuk menentukan layak dan tidaknya seseorang mendapatkan bantuan PKH dengan menggunakan machine learning yaitu C4.5 dan K-Means
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
nginx, php-fpm, rsyslog, runit, cron, machine-learning, tensor, rubixml
Experimental features for the Rubix ML library.
Train your Miner with previously entered data. Start collecting data from them automatically. Supports semi-structured data-sctructures (such as PDF invoices) and unstuctured data (free text like emails)
Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Its 3x3x3 Rubix Cube Solver written in python
Latent Semantic Analysis For Question Classification With K-Nearest Neighbor (2020-2021)
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