# SharifiZarchi/Introduction_to_Machine_Learning

Machine Learning Course, Sharif University of Technology

Repository: https://github.com/SharifiZarchi/Introduction_to_Machine_Learning
Canonical: https://ross.abutalabs.com/products/introduction_to_machine_learning
Homepage: https://SharifML.ir
Language: Jupyter Notebook
License Family: other
Topics: ai, artificial-intelligence, course, machine-learning
Last push: 2026-05-18T15:13:12+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 83, release rhythm 35, longevity 100
- inputs: {"age_days": 1462, "days_push": 107, "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 2127, forks 407 (observed 2026-08-28T04:06:16.904896+00:00)

## What it is
The official repository for the Introduction to Machine Learning course at Sharif University of Technology, containing slides, Jupyter notebooks, and exercises. Course videos and additional resources are available on the SharifML website in Persian.

## Use cases
- learn machine learning fundamentals
- find a university-level ML course with notebooks
- study machine learning with Jupyter notebooks
- access ML course slides and exercises
- self-study introduction to machine learning
- learn ML in Persian

## When to choose
- you want a structured, semester-based introduction to machine learning
- you prefer learning through Jupyter notebooks and exercises
- you understand Persian and want video lectures alongside materials

## When to avoid
- you need advanced or specialized ML topics beyond an introductory course
- you require production-ready ML code or libraries
- you need materials under a permissive code license rather than CC BY

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning
- domain: machine-learning, artificial-intelligence, education, tutorials
- platform: python
- tags: university-course, jupyter-notebooks, persian-language, sharif-university, slides, exercises

## Member repositories
- SharifiZarchi/Introduction_to_Machine_Learning (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:16.904896+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 2026-08-30T02:52:28.513933+00:00, confidence not recorded.
  - readme: https://github.com/SharifiZarchi/Introduction_to_Machine_Learning (fetched 2026-08-28T04:06:16.904896+00:00, sha 01a15cc19e4f)
- Data as of 2026-08-30T08:39:29.467469+00:00.