Showing 3 open source projects for "python feature selection"

View related business solutions
  • One Unified Time Tracking Software For Projects, Billing, Pay and Compliance Icon
    One Unified Time Tracking Software For Projects, Billing, Pay and Compliance

    For companies of all sizes looking for a Time Tracking software

    Replicon's time-tracking platform is scalable and configurable to support the diverse needs of small, mid & large businesses with a remote and globally distributed workforce. Replicon’s Time Tracking is a cloud-based, enterprise-grade solution that tracks employee time across projects, tasks, presence, and absence to facilitate client billing, project costing, and compliant payroll processing. The scalable and configurable platform offers seamless integration with common business technology stacks, such as ERP, CRM, Accounting, and payroll solutions. With AI-powered time capture, mobile apps, and labor compliance as a service, Replicon makes time tracking hassle-free.
    Learn More
  • Deliver trusted data with dbt Icon
    Deliver trusted data with dbt

    dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

    Data teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
    Learn More
  • 1
    DimReduction project provide an open-source multiplatform (Java) graphical environment for bioinformatics problems that supports many feature selection algorithms, pattern recognition techniques, criterion functions and graphic visualization tools.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Java GUI to analyze one (or more, in batch mode) datasets with several feature selection methods at the same time and also performing an "ensemble" analysis. It can be easily extended to include any feature selection algorithm.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB