An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with gaussiannb

A curated list of projects in awesome lists tagged with gaussiannb .

https://github.com/moyuweiqing/a-stock-prediction-algorithm-based-on-machine-learning

(陆续更新)重新整理过的基于机器学习的股票价格预测算法,里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测,包含:LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等

gaussiannb prophet python sklearn svm tushare

Last synced: 07 Apr 2025

https://github.com/mdaiyub/heart-disease-prediction

Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.

confusion-matrix data-science decision-tree-classifier gaussiannb kneighborsclassifier logistic-regression machine-learning matplotlib-pyplot numpy pandas python random-forest-classifier seaborn svc-svm

Last synced: 11 Mar 2025

https://github.com/mdaiyub/house-price-prediction

Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.

confusion-matrix decision-tree-classifier gaussiannb kneighborsclassifier logistic-regression machine-learning matplotlib-pyplot numpy pandas random-forest-classifier seaborn svc-svm

Last synced: 11 Mar 2025

https://github.com/singhxtushar/credit-card-fraud-detection

Credit-Card-Fraud-Detection project is a binary classification project which predicts the Fraud by using the different classification algorithms

automated gaussiannb machine-learning pipelines setup-development-environment xgboost-classifier

Last synced: 19 Feb 2025

https://github.com/iroyalx/clustering_and_classification_samples

UNI S6: K medoids, Gaussian naive bayes & dbscan on SORLIE dataset

classification clustering dbscan dbscan-clustering gaussiannb kmedoids kmedoids-clustering

Last synced: 15 Mar 2025

https://github.com/abdelrahman-amen/titanic-survival-prediction

The Titanic dataset includes passenger information such as survival status, ticket class, gender, age, family relations aboard, fare, cabin, and port of embarkation. It's widely used for predictive modeling to understand survival patterns based on passenger attributes.

decision-tree-classifier gaussiannb gradient-boosting-classifier knearest-neighbor-classifier logistic-regression python random-forest-classifier sgd-classifier svc

Last synced: 05 Apr 2025