Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Unable to calculate vocabulary similarity
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
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  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Contributing Code of conduct Citation Security

Owner

  • Login: Adelin12parinita
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Aditya"
  given-names: "Pise"
orcid: "https://orcid.org/0000-0000-0000-0000"
title: "Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis"
version: 2.0.0
doi: 10.5281/zenodo.10498988
date-released: 2023-03-29
url: "https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis"

GitHub Events

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  • Watch event: 1

Dependencies

requirements.txt pypi
  • alpha_vantage ==2.3.1
  • flask *
  • gunicorn *
  • keras *
  • matplotlib *
  • nltk ==3.5
  • numpy *
  • pandas *
  • scikit_learn *
  • seaborn ==0.11.1
  • statsmodels *
  • streamlit ==0.52.1
  • tensorflow *
  • textblob ==0.15.3
  • tweepy *
  • yfinance *