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Student Data Analysis and Performance Predictor using ML #170

Student Data Analysis and Performance Predictor using ML

Student Data Analysis and Performance Predictor using ML #170

Workflow file for this run

name: Issue_watcher
on:
issues:
types: [opened]
jobs:
first-job:
runs-on: ubuntu-latest
if: ${{ github.actor != github.repository_owner }}
steps:
- name: Checkout code
uses: actions/checkout@main
- name: Run Action
uses: TesseractCoding/Issue_Watcher@main
with:
token: '${{ secrets.GITHUB_TOKEN }}'
author: '${{github.actor}}'
repo: abhisheks008/ML-Crate
maxIssue: 2