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https://github.com/dimits-ts/computational_statistics
Fundemental ML algorithm mathematics, algebraic and Python implementations, data-based problem solving
https://github.com/dimits-ts/computational_statistics
applied-mathematics machine-learning numpy regression statistics
Last synced: about 9 hours ago
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Fundemental ML algorithm mathematics, algebraic and Python implementations, data-based problem solving
- Host: GitHub
- URL: https://github.com/dimits-ts/computational_statistics
- Owner: dimits-ts
- Created: 2023-10-18T09:21:28.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2023-11-03T18:33:03.000Z (about 1 year ago)
- Last Synced: 2024-04-22T02:45:09.469Z (7 months ago)
- Topics: applied-mathematics, machine-learning, numpy, regression, statistics
- Language: Jupyter Notebook
- Homepage:
- Size: 1.49 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Machine Learning & Computational Statistics
Projects pertaining to fundamental ML algorithms, their mathematic background as well as their implementation, using Python (numpy).
Table of Contents:
- [Assign. 2: Regression](hw2/ml_stats_hw2.ipynb): Kernel Trick, OLS implementation for regression, classification, non linear problems
- [Assign. 3: Regularization](hw3/ml_stats_hw3): Estimates and estimators – Estimator bias and variance - Ridge Regression
- [Assign. 4: Estimator Variance](hw3/ml_stats_hw3): Estimates and estimators – Estimator bias and variance - Ridge Regression