https://github.com/rudra-g-23/data-science-roadmap
This repository documents all my learning, projects, and resources collected throughout my data science journey.
https://github.com/rudra-g-23/data-science-roadmap
data-science deep-learning documentation excersise learning-by-doing learning-resources machine-learning notebook personal-journey project-collection python rudra-prasad-bhuyan
Last synced: 9 months ago
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This repository documents all my learning, projects, and resources collected throughout my data science journey.
- Host: GitHub
- URL: https://github.com/rudra-g-23/data-science-roadmap
- Owner: Rudra-G-23
- License: mit
- Created: 2025-03-22T02:49:35.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-28T18:20:06.000Z (about 1 year ago)
- Last Synced: 2025-06-07T21:44:14.941Z (about 1 year ago)
- Topics: data-science, deep-learning, documentation, excersise, learning-by-doing, learning-resources, machine-learning, notebook, personal-journey, project-collection, python, rudra-prasad-bhuyan
- Homepage: https://www.linkedin.com/in/rudra-prasad-bhuyan-44a388235/
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README

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🏗️ Under Construction 😁
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# L1. Foundation
## L1.1 Python
- https://github.com/Rudra-G-23/Python-Fundamentals
## L1.2 Math
- https://github.com/Rudra-G-23/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-By-DeepLearning.AI
## L1.3 Tools
- https://github.com/Rudra-G-23/Data-Manipulation-with-Python
---
# L2. ML
## L2.1 ML Algorithm
- https://github.com/Rudra-G-23/100-Days-of-ML
## L2.2 ML Techniques
- https://github.com/Rudra-G-23/100-Days-of-ML
## L2.3 Projects
- https://github.com/Rudra-G-23/data-science-projects
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# L3. Industry Grade
## L3.1 MLOPs Techniques
## L3.2 MLOPs Tools
## L3.3 Projects
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# L4. Deep Drive
## L4.1 Deep Learning
## L4.2 Projects
## L4.3 NLP
## L4.4 CV
## L4.5 Projects
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# L5. AI
## L5.1 Gen Ai
## L5.2 LLM Models
## L5.3 Projects
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##### Thank you 🙏 Nitish Sir ❤️🔥
📑 Source: [Link](https://youtu.be/CAlfPNOkweQ?si=ds74YiiCwedHXLzN)