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An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with standardization
A curated list of projects in awesome lists tagged with standardization .
https://github.com/w3c/payment-request
Payment Request API
e-commerce payments standardization w3c
Last synced: 29 Sep 2024
https://github.com/easystats/effectsize
:dragon: Compute and work with indices of effect size and standardized parameters
anova cohens-d compute conversion correlation effect-size effectsize hacktoberfest hedges-g interpretation r standardization standardized statistics
Last synced: 02 Oct 2024
https://github.com/starknet-io/SNIPs
Starknet Improvement Proposal repository
process standardization starknet starknet-foundation
Last synced: 04 Aug 2024
https://github.com/bamlab/dev-standards
https://bamtech.gitbooks.io/dev-standards/
bam development lean standardization
Last synced: 28 Aug 2024
https://github.com/fidelisrafael/nifty_services
The dead simple services object oriented layer for Ruby applications to give robustness and cohesion back to your code.
crud-service nifty-services rails ruby service-object services services-objects standardization
Last synced: 06 Aug 2024
https://github.com/biocompute-objects/BCO_Documentation
Repository for documentation to support the IEEE 2791-2020 standard. Please see our home page for communications/publications:
bioinformatics hts-computations science-communication standardization workflow
Last synced: 05 Sep 2024
https://github.com/w3c/machine-learning-charter
Discussions on a possible charter for a future W3C Working Group developing Machine Learning solutions
machine-learning standardization
Last synced: 29 Sep 2024
https://github.com/sbg/biocompute
Create and Manipulate BioCompute Objects
biocompute biocompute-objects bioinformatics science-communication sevenbridges standardization workflow
Last synced: 13 Aug 2024
https://github.com/yashika-malhotra/machine-learning---linear-regression-on-education-institute
In this analysis, I built a model to predict graduate admissions using Linear, Ridge, Lasso, and ElasticNet regressions. CGPA, GRE, and TOEFL scores emerged as key predictors. ElasticNet effectively handled multicollinearity and balanced L1 and L2 regularization.
linear-models linear-regression matplotlib normalization numpy pandas python seaborn sklearn sklearn-library standardization standardscaler statsmodels
Last synced: 26 Sep 2024
https://github.com/jadelhelm/autoprep
Automated Preprocessing Pipeline - DataFrame
anomalies anomaly anomaly-detection automated automated-machine-learning automation data-cleaning data-cleaning-and-preprocessing data-quality machine-learning machinelearning machinelearning-python preprocessing preprocessing-data preprocessing-pipeline python python3 sklearn standardization tabular-data
Last synced: 26 Sep 2024
