krishnaik06/Perfect-Roadmap-To-Learn-Data-Science-In-2025 resource
None observed · 2026-08-28
Health v2 · maintenance only
43/100
- Activity 37
- Release rhythm 35
- Longevity 71
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1004
- days_rel: n/a
- days_push: 379
- n_releases_24m: 0
Adoption not part of the score
4109 stars · 1534 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A curated roadmap repository linking YouTube playlists and resources for learning data science in 2025, covering Python, statistics, EDA, and feature engineering. It is a learning guide rather than software, organized as a step-by-step curriculum with video links.
Use cases
- learn data science from scratch
- find a data science roadmap for 2025
- curated youtube playlists for python and statistics
- plan a study path for machine learning
- resources for EDA and feature engineering
When to choose
- you want a structured, video-based learning path for data science
- you prefer free curated playlists over paid courses
When to avoid
- you need runnable code or a software library
- you want text-based documentation rather than video tutorials
Facets
learning-resource · maturity active
developer-tools data-science machine-learning tutorials cross-platform roadmap curated-links youtube-playlists data-science-learning-path 2025
1 source
- readme: https://github.com/krishnaik06/Perfect-Roadmap-To-Learn-Data-Science-In-2025 · fetched 2026-08-28 · 6dc4cd9b7315
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| krishnaik06/Perfect-Roadmap-To-Learn-Data-Science-In-2025 | main | 43 |
For agents
markdown · JSON · MCP: product_card(name="krishnaik06/Perfect-Roadmap-To-Learn-Data-Science-In-2025")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem