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added maths section
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ayush714 committed Sep 25, 2022
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Expand Up @@ -28,3 +28,23 @@ It also contains the best resources to learn Machine Learning, Deep Learning, Da
It is a continuously evolving repository and I will keep adding more resources to it. If you have any suggestions or want to contribute to this repository, feel free to open an issue or a pull request.

## Table of Contents

I will divide the resources into different levels of learning and will also provide the best resources to learn each topic. The levels of learning are:

- **Fundamentals before Data Science Stage 1**
- **Core Data Science Fundamentals**
- **Intermediate Data Science**
- **Advanced Data Science**
- **Data Science Projects**
- **Guide to Data Science Interviews**
- **Recommended Timeline to follow this roadmap**
- **Tips/Tricks for following the roadmap**

## Let's get ready to learn data science 🚀

| Topic | Resources & Links |
| ---------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Linear Algebra | [Introduction to Linear Algebra by Gilbert Strang, Book](https://math.mit.edu/~gs/linearalgebra/), [Linear Algebra by Antern, Course](https://www.youtube.com/playlist?list=PLITqwrDNk9XDed3jCyByVFBO-EeW6kTy8), [Linear Algebra for Dummies Book by Mary Jane Sterling](#) |
| Calculus | [Calculus for Dummies, Book](#) , [Single Variable Calculus Course by Antern](https://www.youtube.com/playlist?list=PLITqwrDNk9XBuvyyEbSM-au7BpVdGwabZ) |
| Statistics & Probability | [Statistics for Dummies, Book](#), [Probability for Dummies, Book](#), [Statistics and Probability Course by Antern](#) |
| Basics of Information Theory | [Information Theory by d2l.ai](https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/information-theory.html) |

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