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This repository is related to all about Multivariate Calculus for Machine Learning - an A-Z guide to the world of Multivariate Calculus for Machine Learning. This supplement contains the implementation of Multivariate Calculus for Machine Learning (in Python)

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📚Chapter1: - Basics Function, Gradients and Derivatives,Time saving rules

Topic Name/Tutorial	Video	Code
🌐1-Calculus for Machine Learning: Building Blocks for Data Science	Content 2	Content 3
🌐2- Introduction to Functions	Video-Video2	Content 6
🌐3-How Calculus is useful	Video1	---
🌐4-Understanding Derivative in Machine Learning: A Key Concept for Algorithm Optimization	Video1-Video2	---
🌐5-Differentiation examples & special cases	Video1
🌐6-Product rule	Video	---
🌐7-Chain rule	Video-Video2-Video3	---
🌐8-Taming a beast	1	---

📚Chapter2: - Moving to multivariate,Jacobians, The sandpit game

Contributors

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