Creative analysis and exploration of capital markets and alternative databases
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Updated
May 21, 2024 - Jupyter Notebook
Creative analysis and exploration of capital markets and alternative databases
History of BuyVM/BuyShared/Frantech stock data scraped from buyvmstock.com & buyvm.hasstock.net
Improve Project Catalyst with insights gained through data collection and analysis, machine learning and AI.
This is a repository to extract different metrics from the OpenManage Enterprise service running in a Dell cluster
sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.
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 unified framework for machine learning with time series
Python code for working with light curves of variable stars
This data analysis notebook demonstrates lossless, lossy visualizations techinques, and classification methods. We demonstrate analysis of scientific data on hot-swappable datasets.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Singer tap for ClinicalTrials.gov study records data.
Perform a regression task to predict the number of comments on a post after a certain period, applying it to Reddit
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
A toolkit for machine learning from time series
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.
An open source alternative to Tableau. Embeddable visual analytic
Predictor for stock and ETF prices
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