An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
-
Updated
Jan 14, 2023 - PHP
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.
A standalone inference server for trained Rubix ML estimators.
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Experimental features for the Rubix ML library.
Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.
Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.
SentimentAnalysis using PHP RubixML library!
nginx, php-fpm, rsyslog, runit, cron, machine-learning, tensor, rubixml
Human resources system of the National Search and Rescue Agency (Basarnas) with Gaussian Mixture Modeling analysis
Spam classification application written in PHP and the Rubix ML library. The Random Forest classifier was used for classification.
Latent Semantic Analysis For Question Classification With K-Nearest Neighbor (2020-2021)
Its 3x3x3 Rubix Cube Solver written in python
Sistem Pendukung Keputusan untuk menentukan layak dan tidaknya seseorang mendapatkan bantuan PKH dengan menggunakan machine learning yaitu C4.5 dan K-Means
Add a description, image, and links to the rubix-ml topic page so that developers can more easily learn about it.
To associate your repository with the rubix-ml topic, visit your repo's landing page and select "manage topics."