# campusx-official/ML-Roadmap-for-2022

A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months

Repository: https://github.com/campusx-official/ML-Roadmap-for-2022
Canonical: https://ross.abutalabs.com/products/ml-roadmap-for-2022
License Family: other
Last push: 2024-08-20T12:01:35+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": 1696, "days_push": 743, "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 1224, forks 574 (observed 2026-08-28T04:04:02.860530+00:00)

## What it is
A curated roadmap of machine learning videos, links, projects, and datasets designed to take a learner from Python basics to applied ML projects in about six months. It is organized into progressive learning levels with estimated timeframes and links to free resources.

## Use cases
- learn machine learning from scratch in 6 months
- find a structured ML study roadmap
- get curated python numpy pandas tutorials for data science
- find beginner ML projects and datasets
- plan a self-study path into data science
- learn exploratory data analysis with guided resources

## When to choose
- you want a free, structured, step-by-step ML learning path
- you prefer video-based learning with practice problems
- you are a beginner starting from Python fundamentals

## When to avoid
- you need an interactive course with mentorship or certificates
- you want up-to-date 2024+ content since the roadmap targets 2022 resources
- you are already an advanced ML practitioner

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, data-science, data-visualization, nlp
- domain: machine-learning, data-science, tutorials, education
- platform: cross-platform
- tags: roadmap, curated-list, self-study, python, numpy, pandas, eda, statistics

## Member repositories
- campusx-official/ML-Roadmap-for-2022 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:02.860530+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 2026-08-30T06:15:26.558153+00:00, confidence not recorded.
  - readme: https://github.com/campusx-official/ML-Roadmap-for-2022 (fetched 2026-08-28T04:04:02.860530+00:00, sha b32449e32823)
- Data as of 2026-08-30T08:39:29.467469+00:00.