mathletics

This repository provides a comprehensive and curated collection of essential data science, analysis, and AI concepts. Covering everything from foundational.

Generative AI 🤖

Concept #	Concept Name	Notebook
1

Machine Learning 🔧

Concept #	Concept Name	Notebook
1

Deep Learning 🧠

Concept #	Concept Name	Notebook
1

Applied Statistics 📊

Concept #	Concept Name	Notebook
1

Probability 🎲

Concept #	Concept Name	Notebook
1

Linear Algebra 🌐

Concept #	Concept Name	Notebook
1

Calculus ➗

Concept #	Concept Name	Notebook
1

Visualization 📉

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1

Current Concept and IQ Generating Process 🔄

I follow a structured approach to sharing knowledge on Threads, posting concepts and thought-provoking questions (IQs) that stem from my professional experience, academic background, and interview scenarios. These questions are either ones I have encountered, been asked in interviews, or would consider posing in a data science discussion. I refine each question to maximize conceptual coverage and, at times, deliberately choose intellectually stimulating topics to encourage deeper engagement.

Star History ⭐

Contributing 🤝

Contributions are welcome! If you have suggestions for new questions, additional resources, or improvements to the current answers, feel free to submit a pull request or open an issue.

License

• Code in this repository is licensed under the MIT License.
• Content (text, explanations, visualizations, etc.) is licensed under Creative Commons Attribution 4.0 (CC BY 4.0).

This means:

• You are free to use and modify the code as per the MIT license.
• You may reuse and share content, but you must provide proper attribution.