Call-for-Code-for-Racial-Justice/TakeTwo-DataScience

Develop Data Science MVP Version 2

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#17 opened on Sep 16, 2021

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Description

Background

Solution

DS-MVP-2 An extended machine learning module that can learn to detect racially biased expressions in sequential context based on input labeled data. It would be natural to implement this version utilizing recurrent deep neural networks such as the LSTM architecture. Here, the labeled data consists of <context, expression, classification> triples.

Tasks

Acceptance Criteria

Technical Requirements

  • Available seed data

Contributor guide

Research direction
Study LSTM architectures and implement a sequence classification model using the provided seed data.
Tech stack
python
Domain
machine learningai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonMachine learning basicsLSTM
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40