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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

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Fundemental ML algorithm mathematics, algebraic and Python implementations, data-based problem solving

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# 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