https://github.com/anishshinde01/machine-learning-exercises
Python implementations of machine learning, statistics, and mathematical foundations.
https://github.com/anishshinde01/machine-learning-exercises
linear-algebra machine-learning machine-learning-algorithms matplotlib numerical-analysis numpy python scikit-learn scipy statistics
Last synced: 8 days ago
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Python implementations of machine learning, statistics, and mathematical foundations.
- Host: GitHub
- URL: https://github.com/anishshinde01/machine-learning-exercises
- Owner: anishshinde01
- Created: 2026-05-21T17:53:18.000Z (28 days ago)
- Default Branch: main
- Last Pushed: 2026-05-21T18:23:36.000Z (28 days ago)
- Last Synced: 2026-05-22T03:23:02.626Z (28 days ago)
- Topics: linear-algebra, machine-learning, machine-learning-algorithms, matplotlib, numerical-analysis, numpy, python, scikit-learn, scipy, statistics
- Language: Python
- Homepage:
- Size: 130 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# machine-learning-exercises
This repository contains Python implementations and practical exercises covering machine learning algorithms, statistical methods, and mathematical foundations.
## Technologies & Libraries
- **Python** - core programming language
- **NumPy** - numerical computing and matrix operations
- **matplotlib** - data visualization and plotting
- **SciPy** - scientific computing utilities and linear algebra
- **scikit-learn** - dataset generation and machine learning utilities
## Topics Covered
- Machine Learning Fundamentals
- Machine Learning Algorithms
- Gaussian Distributions:
- Whitening Transform
- Mathematical foundations:
- Statistics
- Linear Algebra
- Analytical & Numerical Mathematics
- Data Visualization