https://github.com/lining0806/machinelearningalgorithm

一些常用的机器学习算法实现

apriori desiciontree keras logisticregression naivebayes regression sklearn tensorflow viterbi

Last synced: 07 Sep 2025

https://github.com/dentrax/data-mining-algorithms

Data Mining Algorithms with C# using LINQ

algorithm apriori apriori-algorithm c45 clustering-algorithm data-mining data-mining-algorithms data-science desiciontree id3 id3-algorithm k-means k-nearest-neighbor linq nearest-neighbors

Last synced: 30 Apr 2025

https://github.com/ggeop/flag-study

Nations Flags Classification & Clustering project. :flags:

cart classification clustering desiciontree hierarchical-clustering r rpart svm

Last synced: 23 Aug 2025

https://github.com/ozlerhakan/cyber

desiciontree machine-learning ml random-forest sckiit-learn svc

Last synced: 08 Nov 2025

https://github.com/mischieff01/project-machine-learning-models

A collection of machine learning implementations for regression and classification tasks using Python and scikit-learn. Each model is detailed in Jupyter notebooks with explanations, code, and visualizations.

desiciontree jupyter-notebook lasso-regression linear-regression logistic-regression python random-forest ridge-regression xgboost

Last synced: 22 May 2026

https://github.com/aman5319/bank-marketing-analysis

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit (variable y).

bank-marketing-analysis desiciontree imbalanced-data logistic-regression roc-auc sklearn smote

Last synced: 06 May 2026

https://github.com/brianoy/watermelon-sugar-detector

我也不知道我在寫什麼，大學的一個小專案，發想是買西瓜的時候長輩都會拍打西瓜，因為糖分影響密度，使得有些西瓜聲音比較低沉(咚咚咚)，有些西瓜聲音比較高(啪啪啪)。以此概念，藉由ftt再透過機器學習的決策樹，因為西瓜太貴了，我們樣本數嚴重不足(5顆)，即便拍打原西瓜，每次輸出結果還是不一樣，實驗以失敗告終。

desiciontree machine-learning watermelon

Last synced: 17 Mar 2025

https://github.com/ornella-gigante/cardiovascular-disease-prediction-project

This ML project predicts cardiovascular diseases using clinical data (blood pressure, cholesterol, heart rate). Implemented Decision Tree (71.15%) and Gaussian Naive Bayes (70.49%) models on 13 medical features.

binary classification desiciontree gaussian-processes machine-learning prediction-model

Last synced: 23 Oct 2025

https://github.com/sermonzagoto/uji_akurasi_model

Uji coba model menggunakan 3 algorima machine learning untuk klasifikasi

desiciontree logistic-regression-classifier machine-learning-algorithms naive-bayes-classifier python3

Last synced: 15 Apr 2026

https://github.com/davityak03/ensemble-modelling

This repository contains a comprehensive guide and implementation of ensemble modeling techniques, specifically focusing on Boosting, Bagging, and Voting. Ensemble methods are powerful techniques in machine learning that combine the predictions from multiple models to improve overall performance and robustness.

adaboost bagging boosting desiciontree ensemble-model logistic-regression machine-learning-algorithms python svm voting

Last synced: 21 May 2026

https://github.com/afrid1045/coronary_heart_disease_prediction

Predicting the risk of a person developing the coronary heart disease in 10 years using Machine Learning models.

data-preprocessing desiciontree jupyter-notebook knn-classifier logistic-regression machine-learning-algorithms model-selection python python3 streamlit svc-svm

Last synced: 06 May 2026

https://github.com/chouikhi-abdallah/supervised_machine_learning_algorithms

This repository reflects my leaning journey of supervised machine learning algorithms where i have worked on a project which aims to predict wether a person has some heart disease or not and comparing the differnet algorithms

desiciontree logistic-regression naive-bayes-classifier random-forest-classifier support-vector-machines

Last synced: 16 Oct 2025

https://github.com/ashishsingh789/customer_purchase_prediction_using_decision-tree-_classifier

Decision Tree Classifier to predict customer purchases using demographic and behavioral data. Key steps: data preprocessing, EDA, model training, evaluation, and feature importance analysis.

data datascience desiciontree eda machine-learning-algorithms matplotlib numpy pandas-dataframe python seaborn

Last synced: 11 Apr 2026

https://github.com/ritwika-das-gupta/flight_price_prediction

Flight price Prediction is made using decision tree model and Machine learning concepts

cross-validation data-science data-visualization desiciontree flask gridsearchcv html-css-javascript hyperparameter-tuning json machine-learning matplotlib numpy pandas pickle python scikit-learn sklearn statistics supervised-learning

Last synced: 11 Apr 2026

https://github.com/dor-sketch/decisiontreeai

An innovative Python implementation of decision trees for machine learning, showcasing algorithmic learning from scratch with practical examples and a focus on AI principles.

ai desiciontree information-gain learning-from-data openui python3

Last synced: 15 Mar 2025