https://github.com/ssoehdata/math_for_ml_course

Course Materials from Mathematics for ML Course / Coursera/Imperial College London
https://github.com/ssoehdata/math_for_ml_course

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Course Materials from Mathematics for ML Course / Coursera/Imperial College London

• Host: GitHub
• URL: https://github.com/ssoehdata/math_for_ml_course
• Owner: ssoehdata
• Created: 2024-02-02T09:04:15.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-04-27T11:36:02.000Z (about 1 year ago)
• Last Synced: 2025-06-04T18:51:37.826Z (12 months ago)
• Language: Jupyter Notebook
• Size: 12.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Math_for_ML_course_

Course Materials from Mathematics for ML Course / Coursera/Imperial College London

Included are my certifications, completed assignments and related materials.

![Python](https://a11ybadges.com/badge?logo=python)  ![NumPy](https://img.shields.io/badge/numpy-%23013243.svg?style=for-the-badge&logo=numpy&logoColor=white)  ![scikit-learn](https://a11ybadges.com/badge?logo=scikitlearn) ![Matplotlib](https://img.shields.io/badge/Matplotlib-%23ffffff.svg?style=for-the-badge&logo=Matplotlib&logoColor=black) 

![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23FA0F00.svg?style=for-the-badge&logo=jupyter&logoColor=white)

3 Separate Modules

## Course Syllabus

Module 1: Linear Algebra / (including the 3 completed 3 python assigments for this module)

Module 2: Multivariate Calculus  

Module 3: Principle Component Analysis (PCA)