GitHub

Risk Analysis Algorithms Library (Python)

1 Risk Matrix (Likelihood x Impact) qualitative.risk_matrix Simple Generic qualitative assessment (ISO 31000) ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
GitHub

Quantitative Algorithmic Trading Arbitrage Bot

Martha Stewart capitalizes on infinitesimal price discrepancies that exists for minuscule periods. Her goal is to execute trades at at the best possible prices to reduce transaction costs. By taking ...
BIOENGINEER

Kernel-Tuned Machine Learning Pushes Network Intrusion Detection Toward 99% Accuracy on Benchmark Data

A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...

What are Model Trees? Let's Implement and Compare Them with Regression Trees in Python

One of the representative algorithms in machine learning is the decision tree.A decision tree is a method that makes ...
shattered.io

BLAKE3 vs BLAKE2: 4x Faster, 140 GiB/s [2026]

Cryptographic hashing has two live generations fighting for the same job today. BLAKE2, standardized in IETF RFC 7693 back in 2012, still runs inside Argon2, WireGuard, and libsodium. BLAKE3, released ...