# alexattia/Data-Science-Projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

Repository: https://github.com/alexattia/Data-Science-Projects
Canonical: https://ross.abutalabs.com/products/alexattia-data-science-projects
Language: Jupyter Notebook
License Family: other
Topics: kaggle, hackerrank, machine-learning, python, challenge
Last push: 2023-01-13T05:40:45+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3764, "days_push": 1328, "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 1187, forks 456 (observed 2026-08-28T04:03:55.195986+00:00)

## What it is
A collection of personal data science and machine learning projects built around Kaggle and HackerRank challenges, written in Python and Jupyter Notebooks. Projects include bike sharing demand prediction, face recognition with dlib, satellite image labeling with Keras, and web scraping examples.

## Use cases
- learn data science through kaggle challenge solutions
- find example code for face recognition with deep learning
- study machine learning projects in jupyter notebooks
- see how to scrape twitter data with selenium
- practice python for hackerrank algorithm challenges
- learn to label satellite images with keras

## When to choose
- you want readable, example-driven notebooks for learning ML and data science
- you need reference implementations of classic Kaggle challenges
- you are a beginner looking for varied Python data science project ideas

## When to avoid
- you need a production-ready, maintained library with a stable API
- you require a licensed, reusable software package
- you need up-to-date code compatible with current library versions

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, data-science, web-scraping, computer-vision, nlp
- domain: machine-learning, data-science, education, computer-vision
- platform: python
- tags: kaggle, hackerrank, jupyter-notebooks, face-recognition, deep-learning, tutorials, practice-projects, natural-language-processing

## Member repositories
- alexattia/Data-Science-Projects (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:55.195986+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 2026-08-30T06:23:41.820368+00:00, confidence not recorded.
  - readme: https://github.com/alexattia/Data-Science-Projects (fetched 2026-08-28T04:03:55.195986+00:00, sha af25cab8d96f)
- Data as of 2026-08-30T08:39:29.467469+00:00.