https://github.com/patilni3/various_roadmaps
Roadmaps for Machine Learning, Mathematics for Machine Learning, Python for Machine Learning, SQL
https://github.com/patilni3/various_roadmaps
Last synced: about 2 months ago
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Roadmaps for Machine Learning, Mathematics for Machine Learning, Python for Machine Learning, SQL
- Host: GitHub
- URL: https://github.com/patilni3/various_roadmaps
- Owner: PatilNi3
- Created: 2024-10-08T15:34:15.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-10-18T04:00:25.000Z (7 months ago)
- Last Synced: 2024-10-19T06:25:53.332Z (7 months ago)
- Size: 75.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# VARIOUS_ROADMAPS
Roadmaps for Machine Learning, Mathematics for Machine Learning, Python for ML, DS and DA, SQL for DS and DA## Overview
In this repository, you'll find comprehensive roadmaps covering:
- **Machine Learning**: Fundamental concepts, algorithms, and applications in the field.
- **Mathematics for Machine Learning**: Key mathematical concepts, including linear algebra, calculus, probability, and statistics.
- **Python for Machine Learning, Data Science and Data Analyst**: Essential Python libraries, tools, and best practices for building ML models.
- **SQL for Data Science and Data Analyst**: Understanding how to query and manipulate data using SQL.## Contents
Each roadmap will include:
- **Learning Objectives**: Clear goals to achieve by the end of each topic.
- **Recommended Resources**: Curated list of books, online courses, tutorials, and articles.
- **Hands-on Projects**: Practical exercises and projects to reinforce your learning.
- **Additional Resources**: Links to relevant tools, datasets, and communities.## How to Use This Repository
1. **Explore the Roadmaps**: Navigate through the directories to find roadmaps that interest you.
2. **Follow the Learning Paths**: Each roadmap is designed to guide you step-by-step through the material.
3. **Engage with the Community**: Feel free to contribute by sharing additional resources, suggesting improvements, or providing feedback.## Contribution
Contributions are welcome! If you have resources, insights, or suggestions to improve the roadmaps, please create an issue or submit a pull request.
## License
This repository is open-source and available under the MIT License.
## Contact
For any questions or suggestions, please reach out via the [Issues](https://github.com/PatilNi3/VARIOUS_ROADMAPS/issues) section.
Happy learning!