Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

Package Usage: conda: yellowbrick

A suite of visual analysis and diagnostic tools for machine learning.
2 versions
Latest release: 11 months ago

View more package details: https://packages.ecosyste.ms/registries/anaconda.org/packages/yellowbrick

View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/DistrictDataLabs%2Fyellowbrick

Dependent Repos 15

UBC-DSCI/autotest 📦

demo/environment.yml

Size: 226 KB - Last synced: 8 months ago - Pushed: 8 months ago

kubekmonika/customer-churn-analysis-telco-dataset

Predict customer churn - capstone project made for the Udacity's Data Scientist Nanodegree program

1.3.post1 environment.yaml

Size: 19 MB - Last synced: about 1 year ago - Pushed: over 2 years ago

gooday23/BIRSBIO2020.seqFISHChallenge.geneSeletction

environment.yml

Size: 3.92 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

adenger/subpred3

Code for the manuscript "Optimized data set and feature construction for substrate prediction of membrane transporters"

1.4 environment.yml

Size: 50.6 MB - Last synced: 21 days ago - Pushed: 10 months ago

semasuka/Credit-card-approval-prediction-classification

Credit risk analysis for credit card applicants

1.3.post1 assets/environment.yml

Size: 29.5 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

Development and experimentation repository for the project "Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources". V. S. Pérez-Díaz, J. R. Martínez-Galarza, A. Caicedo, R. D'Abrusco.

environment.yml

Size: 150 MB - Last synced: 11 months ago - Pushed: 11 months ago

franksalas/Machine-Learning-Pocket-Reference

environment.yml

Size: 337 KB - Last synced: about 1 year ago - Pushed: over 3 years ago

kubekmonika/air-quality-analysis

Analysis of air quality data in Poland (PM2.5)

1.3.post1 environment.yaml

Size: 67.4 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago

egregorimar/urbana

Urban Data Analysis

environment.yml

Size: 50.9 MB - Last synced: 2 months ago - Pushed: over 2 years ago

tymyrddin/nerrin

The knack lies in learning how to throw yourself at the ground and miss.

1.4.* environment.yml

Last synced: over 1 year ago

conda-envs/default

environment.yml

Last synced: 12 months ago

phaustin/ansible_intro

nbgrader/demo/environment.yml

Size: 208 KB - Last synced: 10 months ago - Pushed: 10 months ago

prunonos/Large-scale-data-science-for-real-world-data

Slides, exercises and homeworks of this course.

homework-1-master/environment.yml

Size: 37.8 MB - Last synced: 21 days ago - Pushed: almost 2 years ago

krlng/titanic

environment.yml

Size: 4.37 MB - Last synced: about 1 year ago - Pushed: over 1 year ago

ml45/unsupervised_learning

environment.yml

Last synced: over 1 year ago

adrianmarino/thesis-paper

Collaborative and hybrid recommendation systems

environment.yml

Size: 351 MB - Last synced: 23 days ago - Pushed: 23 days ago

mtinti/Gustavo_DIA_RBP

environment.yml

Size: 11.1 MB - Last synced: about 1 year ago - Pushed: over 2 years ago

mtinti/calvin_tfr2

environment.yml

Size: 25.1 MB - Last synced: about 1 year ago - Pushed: over 3 years ago

mtinti/calvin_tfr

environment.yml

Size: 41.6 MB - Last synced: about 1 year ago - Pushed: over 3 years ago

john-judge/ZDA_Explorer

A library that acts as an extension of PhotoZ (image acquisition and analysis) for more flexible data analysis

1.3.post1 environment.yml

Size: 8.08 MB - Last synced: 12 months ago - Pushed: almost 2 years ago

gambtho/7641_supervisedLearning

0.9.* environment.yml

Size: 1.27 MB - Last synced: 30 days ago - Pushed: over 5 years ago

JonoCX/predicting-engagement-mm21

Source code for our paper "Using Interaction Data to Predict Engagement with Interactive Media" published at MM 2021

1.2.* environment.yml

Size: 1.89 MB - Last synced: about 1 year ago - Pushed: over 2 years ago

nicovandenhooff/wids-datathon-2022

This repository contains solution for the 2022 Women in Data Science Kaggle competition that I participated in, which obtained a top 10% leaderboard standing.