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
May 1, 2026 - Jupyter Notebook
#
baysian
Here are 18 public repositories matching this topic...
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.
python risk-analysis risk pymc fair risk-assessment markov-chain-monte-carlo risk-management risk-modelling mitre-attack baysian factor-analysis-information-risk
-
Updated
Dec 10, 2025 - Python
A Comprehensive Package for Signal Detection Theory and Metacognitive Measures
python behavior analysis information-theory decision-making neuroscience psychology cognitive-science psychophysics psychology-experiments evaluation-metrics metacognition psychometrics cognitive-neuroscience consciousness cognitive-modeling baysian consciousness-research
-
Updated
Aug 6, 2026 - Python
A/B testing project for checkout conversion optimization using z-test, logistic regression, Bayesian analysis, and business impact estimation.
python ecommerce statistics experimentation data-analysis logistic-regression ab-testing hypothesis-testing causal-inference baysian
-
Updated
Aug 5, 2026 - Python
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
-
Updated
May 17, 2024 - Python
Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
python machine-learning entropy probability regression naive-bayes-classifier pca linear gradient-descent ridge-regression softmax-regression maximum-likelihood-estimation cross-entropy principle-component-analysis lasso-regression information-gain sigmoid-function baysian suprise k-fold-cross-validation
-
Updated
Jun 28, 2022 - HTML
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.
python risk-analysis risk pymc fair risk-assessment risk-management mitre-attack baysian-network baysian factor-analysis-information-risk risk-modeling
-
Updated
Mar 14, 2026 - Python
Approche Bayésienne pour l'étude de la variabilité des capteurs
-
Updated
Mar 1, 2020 - R
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.
machine-learning random-forest svm jupyter-notebook logistic-regression lda knn baysian stroke-prediction
-
Updated
Aug 15, 2022 - Jupyter Notebook
-
Updated
Jul 1, 2020 - MATLAB
Robust Conjugate Direction Search (noisy objective optimization)
-
Updated
Aug 31, 2023 - Jupyter Notebook
AI-CyberSec 2021 Workshop CEUR Publication(AI-2021 Forty-first SGAI International Conference)
config python grid random-forest optimization machine-learning-algorithms hyperparameter-optimization logistic-regression search-algorithm malware-analysis default stochastic-gradient-descent knn-classification malware-detection randomsearch gaussian-naive-bayes baysian github-config lightgbm-classifier
-
Updated
Apr 28, 2022 - Jupyter Notebook
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
-
Updated
Apr 13, 2026 - Jupyter Notebook
A/B testing framework with Frequentist, Bayesian, and Sequential testing — includes a peeking problem simulator that visually proves why standard testing inflates false positive rates by 3-4x.
python experiment data-science plotly scipy ab-testing baysian streamlit sequential-testing stastistics
-
Updated
Jul 25, 2026 - Python
Evaluate A/B checkout tests with regression adjustment, Bayesian analysis, and business impact estimates to guide launch decisions
python learning data-science ecommerce statistics jupyter-notebook experimentation data-analysis logistic-regression ab-testing hypothesis-testing causal-inference baysian worldquantuniversity
-
Updated
Sep 6, 2026 - Jupyter Notebook
AI-powered student placement probability predictor using Bayesian Machine Learning, FastAPI backend, and Streamlit frontend.
-
Updated
Mar 21, 2026 - Jupyter Notebook
Add this topic to your repo
To associate your repository with the baysian topic, visit your repo's landing page and select "manage topics."