Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Unable to calculate vocabulary similarity
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: NikhilBagul2710
- Language: Python
- Default Branch: main
- Size: 9.51 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Contributing
Code of conduct
Citation
Owner
- Name: Nikhil Bagul
- Login: NikhilBagul2710
- Kind: user
- Location: Nashik/Pune/Mumbai
- Repositories: 1
- Profile: https://github.com/NikhilBagul2710
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Jadhav" given-names: "Kaushik" 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
Total
Last Year
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 *