Showing 3 open source projects for "statistical"

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    mlscraper

    mlscraper

    ML-based HTML scraper that learns extraction rules from examples

    ...This approach simplifies web scraping tasks by shifting the focus from rule-writing to example-based training. Internally, the project processes HTML documents, identifies relevant elements in the DOM, and builds extraction logic based on statistical or heuristic analysis of the training samples. The result is a developer-oriented tool that aims to automate common scraping workflows.
    Downloads: 5 This Week
    Last Update:
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  • 2
    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit for All of Us

    DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features.
    Downloads: 0 This Week
    Last Update:
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  • 3

    newsscrape

    news headline collecting for analysis in determining the category

    ... - Each news headline is matched against Google News category like Entertainment, Sports, etc. - Called from scheduler to collect this data at 5 minutes interval and be accumulated in a database. - It contains R statistical computing scripts to learn the pattern on words in the headline resulting a particular category. - To test its accuracy in predicting the category from a news headline, select a news title from other sources - e.g. http://rss.news.yahoo.com/rss/entertainment - and incorporate it into the R script for outputting a news category it assumes on the news title.
    Downloads: 0 This Week
    Last Update:
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