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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Awesome Data Analysis is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Statsmodels is a Python package that complements scipy for statistical computations, including descriptive statistics and estimation and inference for statistical models. It provides linear regression models, generalized linear models, discrete models, time series analysis, survival analysis, multivariate methods and a range of statistical tests.
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An awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory. It organizes tools under categories such as literature search, text mining and NLP, screening, data extraction, risk of bias, meta-analysis statistics, and visualization and reporting.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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DataFrames.jl is a Julia library that provides in-memory tabular data structures for data manipulation and analysis. It is developed by the JuliaData organization and its source code is hosted on GitHub.
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Gopherdata's tooling directory is a curated list of tools, packages, and libraries for doing data science with Go. It organizes resources across categories such as classification, clustering, CSV handling, distributed data analysis, geospatial work, machine learning, and plotting, and also lists proposed packages meant to fill gaps in the ecosystem.
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The repository holds materials and IPython notebooks for "Python for Data Analysis, 3rd Edition" by Wes McKinney, published by O'Reilly Media. Notebooks cover chapters on Python basics, NumPy, pandas, data loading, cleaning, visualization, time series and modeling libraries, plus appendices. The code is released under the MIT license.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
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A lightweight framework for data analysis in JavaScript.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Tools for exploratory data analysis in Python.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
github.com
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
github.com
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
github.com
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
github.com
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
github.com
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
github.com
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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AI-powered multi-market stock analysis with transparent BDE scoring across 73 stocks (US/HK/A-share). EU AI Act Art.50 compliant. MIT license.