Pima-Indians-Diabetes-Dataset
importeddata/pima-indians-diabetes-dataset
Personal project using Pima Indians Diabetes to analyse it and make predictions using Machine Learning techniques.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- data-science · nutrition · pima-diabetes-data · python · workexperience
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- cdnonutrition
Compositional Dietary Nutrition Ontology
- FoodBiomarkerOntologynutrition
Food-Biomarker Ontology defines the relationships between foods and their associated metabolites (biomarkers) through a formal ontology
- Instacart-USDAnutrition
Merge of Instacart dataset and USDA Nutritional Information
- Ontology-for-Nutritional-Studiesnutrition
The Ontology for Nutritional Studies (ONS) has been developed as part of the ENPADASI European project (http://www.enpadasi.eu/) with the aim to define a common language and building ontologies for…
- open-recipenutrition
Gathering an Open Recipe Dataset
- advanced-macro-calculatornutrition
An advanced macronutrient and calorie calculator to help achieve desired body composition.
- api.github.com/repos/npradaschnor/Pima-Indians-Diabetes-Datasetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-02-20, 63 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/8.json→ .entries["pima-indians-diabetes-dataset"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.