This is a repository to extract different metrics from the OpenManage Enterprise service running in a Dell cluster
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Updated
Jun 26, 2024 - Python
This is a repository to extract different metrics from the OpenManage Enterprise service running in a Dell cluster
Data mining, machine learning, and deep learning sample code
History of BuyVM/BuyShared/Frantech stock data scraped from buyvmstock.com & buyvm.hasstock.net
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
A toolkit for machine learning from time series
Demo projects for AIML team
My personal Data Mining and Machine Learning journey repo.
This project aims to tackle the growing problem of fake news by employing machine learning techniques. Our goal is to build a model that can automatically classify a piece of news as real or fake, helping to maintain the integrity of information circulated on various media platforms.
Knowage is the professional open source suite for modern business analytics over traditional sources and big data systems.
Collection of notes on things I find interesting
A unified framework for machine learning with time series
An open source alternative to Tableau. Embeddable visual analytic
R Code to accompany the book Introduction to Data Mining by Tan, Steinbach and Kumar (Code by Michael Hahsler)
AIL framework - Analysis Information Leak framework
Jekyll-based static site for The Programming Historian
"This repository contains an implementation of the Principal Component Analysis (PCA) algorithm, which is one of the key techniques used for dimensionality reduction in data mining and machine learning."
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