forcast-app
Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.0%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: foram2023
- Language: Python
- Default Branch: main
- Size: 10.7 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created 9 months ago
· Last pushed 9 months ago
Metadata Files
Readme
Zenodo
README.md
ForCAST-app
This application provides an interactive platform for training, evaluating, and visualizing machine learning models, specifically designed for regression tasks. It supports advanced algorithms like Random Forest Regression(RF) and Support Vector Regression (SVR) to deliver accurate predictions and insightful data analysis.
Upload your dataset in CSV or Excel format. Analyze correlations between dataset features. Visualize and select key features for your model. Train machine learning models using RFR and SVR. Generate predictions based on your trained models. Download the predicted data as an Excel file.
Owner
- Name: Rohan Subba
- Login: foram2023
- Kind: user
- Location: India
- Repositories: 1
- Profile: https://github.com/foram2023
PhD Student
GitHub Events
Total
- Release event: 5
- Push event: 8
- Create event: 5
Last Year
- Release event: 5
- Push event: 8
- Create event: 5
Dependencies
requirements.txt
pypi
- matplotlib *
- numpy *
- openpyxl *
- pandas *
- plotly *
- scikit-learn *
- seaborn *
- streamlit *
- xlsxwriter *