Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
-
Updated
Dec 10, 2025 - Jupyter Notebook
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
Code that implements Factor Analysis of Information Risk (FAIR) in combination with MITRE ATT&CK using Markov Chain Monte Carlo (via PyMC) to determine the frequency of successful attacks.
A/B testing project for checkout conversion optimization using z-test, logistic regression, Bayesian analysis, and business impact estimation.
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
Approche Bayésienne pour l'étude de la variabilité des capteurs
This project builds a classifier for stroke prediction, which predicts the probability of a person having a stroke along with the key factors which play a major role in causing a stroke.
Robust Conjugate Direction Search (noisy objective optimization)
About Implementation and comparison of classification algorithms (OLS, Gaussian classifiers, Naive Bayes) applied to EMG signals for facial expression recognition. Evaluates accuracy across 100 random train/test splits on a 50,000. sample dataset with 5 expression classes
AI-CyberSec 2021 Workshop CEUR Publication(AI-2021 Forty-first SGAI International Conference)
Evaluate A/B checkout tests with regression adjustment, Bayesian analysis, and business impact estimates to guide launch decisions
AI-powered student placement probability predictor using Bayesian Machine Learning, FastAPI backend, and Streamlit frontend.
Code that implements Factor Analysis of Information Risk (FAIR) in combination with MITRE ATT&CK using Baysian networks (via PyMC) to determine the frequency of successful attacks.
Add a description, image, and links to the baysian topic page so that developers can more easily learn about it.
To associate your repository with the baysian topic, visit your repo's landing page and select "manage topics."