# durgeshsamariya/Data-Science-Machine-Learning-Project-with-Source-Code

Data Science and Machine Learning projects with source code.

Repository: https://github.com/durgeshsamariya/Data-Science-Machine-Learning-Project-with-Source-Code
Canonical: https://ross.abutalabs.com/products/data-science-machine-learning-project-with-source-code
License Family: other
Topics: machine-learning, data-science, data-science-projects, machine-learning-projects, python, artificial-intelligence, awesome, awesome-list
Last push: 2024-06-30T21:49:33+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2063, "days_push": 794, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1211, forks 196 (observed 2026-08-28T04:04:00.144126+00:00)

## What it is
A curated awesome-list of data science and machine learning projects with source code, linking to articles, GitHub repos, and Kaggle kernels. It serves as a learning resource for finding hands-on project ideas rather than being a software library itself.

## Use cases
- find machine learning project ideas with source code
- learn data science through hands-on projects
- discover kaggle notebooks for practice
- beginner ml projects in python
- portfolio project ideas for data science
- sentiment analysis and fraud detection example projects

## When to choose
- you want curated links to guided tutorials and project walkthroughs
- you are a beginner looking for portfolio project inspiration
- you want example projects across NLP, computer vision, and time series

## When to avoid
- you need a production-ready library or framework
- you want maintained, tested code you can depend on
- you need a single cohesive codebase rather than a link collection

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, data-science
- domain: machine-learning, data-science, tutorials, awesome-lists
- platform: python
- tags: awesome-list, project-ideas, kaggle, beginner-projects, curated-links

## Member repositories
- durgeshsamariya/Data-Science-Machine-Learning-Project-with-Source-Code (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.144126+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:18:03.631898+00:00, confidence not recorded.
  - readme: https://github.com/durgeshsamariya/Data-Science-Machine-Learning-Project-with-Source-Code (fetched 2026-08-28T04:04:00.144126+00:00, sha 31d2ce062078)
- Data as of 2026-08-30T08:39:29.467469+00:00.