data-science-complete-tutorial
by edyoda · GitHub
For extensive instructor led learning
⭐ Stars
1.8k
🍴 Forks
770
📜 License
—
License not specified📅 Created
2018
🔄 Last commit
3 yr ago
🏷️ Category
decision-trees
💻 Language
You maintain this project?
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
📈 Star history
2026-07-202026-07-21
📄 About
For extensive instructor led learning
❓ Frequently asked questions
What is data-science-complete-tutorial?
For extensive instructor led learning
Is data-science-complete-tutorial open source?
data-science-complete-tutorial is an open-source project.
Is data-science-complete-tutorial free?
Yes. data-science-complete-tutorial is free and open source — you can use, modify and self-host it.
🏅 Maintainer of this project?
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://opensourceai.tech/project/edyoda-data-science-complete-tutorial.html)
🧬 Related projects🧬 View the DNA map →
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framewor…
★ 18.6k · data-mining
dtreeviz
A python library for decision tree visualization and model interpretation.
★ 3.2k · data-science
Text_Classification
Text Classification Algorithms: A Survey
★ 1.8k · boosting-algorithms