close

Showing 4 of total 4 results (show query)

ediorg

ecocomDP:Tools to Create, Use, and Convert ecocomDP Data

Work with the Ecological Community Data Design Pattern. 'ecocomDP' is a flexible data model for harmonizing ecological community surveys, in a research question agnostic format, from source data published across repositories, and with methods that keep the derived data up-to-date as the underlying sources change. Described in O'Brien et al. (2021), <doi:10.1016/j.ecoinf.2021.101374>.

Maintained by Colin Smith. Last updated 8 months ago.

32 stars 7.74 score 77 scripts

fanhansen

creditmodel:Toolkit for Credit Modeling, Analysis and Visualization

Provides a highly efficient R tool suite for Credit Modeling, Analysis and Visualization.Contains infrastructure functionalities such as data exploration and preparation, missing values treatment, outliers treatment, variable derivation, variable selection, dimensionality reduction, grid search for hyper parameters, data mining and visualization, model evaluation, strategy analysis etc. This package is designed to make the development of binary classification models (machine learning based models as well as credit scorecard) simpler and faster. The references including: 1 Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS; 2 Bezdek, James C.FCM: The fuzzy c-means clustering algorithm. Computers & Geosciences (0098-3004),<DOI:10.1016/0098-3004(84)90020-7>.

Maintained by Dongping Fan. Last updated 3 years ago.

4 stars 3.48 score 15 scripts

kwb-r

dwc.wells:A Package for Condition Predictions for Drinking Water Wells

This package allows to predict the condition of a drinking water well based on ML models. The models are trained with results from pump tests and a large set of input variables e.g. the well material, the age and the number of regenerations.

Maintained by Michael Rustler. Last updated 3 years ago.

machine-learningproject-dwc

3.00 score 7 scripts

cran

animl:A Collection of ML Tools for Conservation Research

Functions required to classify subjects within camera trap field data. The package can handle both images and videos. The authors recommend a two-step approach using Microsoft's 'MegaDector' model and then a second model trained on the classes of interest.

Maintained by Kyra Swanson. Last updated 2 months ago.

1.70 score

: