owocki/pytrader

Documentation Request: Machine Learning Core Concepts Cheatsheet

Open

#49 opened on Apr 4, 2016

View on GitHub
 (0 comments) (0 reactions) (0 assignees)Python (420 forks)user submission
accessibiliityhelp wanted

Repository metrics

Stars
 (1,962 stars)
PR merge metrics
 (No merged PRs in 30d)

Description

like it says on the tin. a request has been made for a Machine Learning Core Concepts Cheatsheet

Contributor guide

Research direction
Create a cheatsheet covering key machine learning concepts such as supervised vs unsupervised learning, common algorithms, evaluation metrics, and terminology.
Tech stack
python
Domain
backendmachine learning
Issue type
Documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Git
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
90