# teddylee777/machine-learning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Repository: https://github.com/teddylee777/machine-learning
Canonical: https://ross.abutalabs.com/products/teddylee777-machine-learning
Language: Jupyter Notebook
License Family: other
Topics: machine-learning, jupyter-notebook, python, python3, lectures, tensorflow-tutorials, tensorflow, pytorch, pandas, pandas-tutorial, tensorflow2, pytorch-tutorial, tensorflow-examples, deep-learning, gan, natural-language-processing, neural-networks, neural-network, udacity, machine-learning-study
Last push: 2025-08-13T15:54:34+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 36, release rhythm 35, longevity 100
- inputs: {"age_days": 2922, "days_push": 385, "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 3274, forks 941 (observed 2026-08-28T04:07:53.241867+00:00)

## What it is
A collection of Jupyter notebook tutorials and study materials for machine learning beginners, covering TensorFlow, PyTorch, pandas, deep learning, GANs, and NLP. Content is primarily in Korean and includes lecture notes and hands-on examples.

## Use cases
- learn machine learning from scratch
- find tensorflow tutorial notebooks
- study pytorch with example code
- practice pandas for data analysis
- understand GANs with worked examples
- prepare for a machine learning study group
- learn NLP basics with notebooks

## When to choose
- you are a beginner wanting hands-on notebook-based ML tutorials
- you prefer Korean-language learning materials
- you want examples spanning TensorFlow, PyTorch, and pandas in one place

## When to avoid
- you need production-ready ML code or a maintained library
- you require English-only documentation
- you need a structured course with certification rather than self-study notebooks

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, nlp
- domain: machine-learning, deep-learning, tutorials, education
- platform: python, cross-platform
- tags: jupyter-notebooks, tensorflow, pytorch, pandas, tutorials, korean-language, study-materials, gan, udacity, natural-language-processing

## Member repositories
- teddylee777/machine-learning (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:53.241867+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 2026-08-29T18:43:24.144819+00:00, confidence not recorded.
  - readme: https://github.com/teddylee777/machine-learning (fetched 2026-08-28T04:07:53.241867+00:00, sha 3237bb58866e)
- Data as of 2026-08-30T08:39:29.467469+00:00.