A rules induction system for data mining and exploratory data analysis
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Updated
May 18, 2024 - Python
A rules induction system for data mining and exploratory data analysis
This is a repository to extract different metrics from the OpenManage Enterprise service running in a Dell cluster
A unified framework for machine learning with time series
Topic Modelling for Humans
AI Enhanced DataHive embarks on a mission to become a centralized hub for data of various kinds, offering templates for collectors to aggregate data centrally for further processing in other applications. This initiative arises from the repeated cycles of developing crawlers, extractors, and collectors across numerous projects.
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
History of BuyVM/BuyShared/Frantech stock data scraped from buyvmstock.com & buyvm.hasstock.net
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
📝 An awesome Data Science repository to learn and apply for real world problems.
object flow treatment, data transformation
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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.
The Open Source Time-Series Data Historian
Auction schedules data miner
📝 An awesome Data Science repository to learn and apply for real world problems. With repository stars⭐ and forks🍴
Synthesize, analyze, and visualize biological oceanography data
Python code for working with light curves of variable stars
Data mining, machine learning, and deep learning sample code
In this project, our dataset included 10,000 observations for each attribute. Utilizing SAS Enterprise Miner for comprehensive data preprocessing and model assessment. The ensemble model performance secured us the 10th rank among 43 teams on the Kaggle leaderboard.
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