https://github.com/sgrodriguez/ddt

Golang Dynamic Decision Tree

decision decision-tree decison-trees go golang machine-learning tree user-tree

Last synced: 14 Mar 2025

https://github.com/rubaiyadnoorshahriar1999/wine-quality-testing--machine-learning

Keywords—classification, supervised learning, Random Forest, K-Nearest Neighbor(K-NN), Naïve Bayes, Decision tree, Support Vector machine

decison-trees jupyter-notebook knn-classification machine-learning machine-learning-algorithms naive-bayes-classifier python support-vector-machines wine-quality

Last synced: 02 Dec 2024

https://github.com/steciuk/pszt-id3-algortihm

Classification of mushrooms using decision tree in ID3 implementation

classifiation decison-trees id3 k-fold-cross-validation

Last synced: 24 Feb 2025

https://github.com/dms-codes/decision-tree-drugs

Decision Tree Classifier with Grid Search and Visualization

decison-trees machine-learning python

Last synced: 12 Mar 2025

https://github.com/kush1912/phocket---ml-internship

This repository consists of machine Learning models, deep learning models and some NLP tasks such as Topic Modelling, Sequence generation, Sentiment analysis, Recommendation System

black-friday classification-algorithims decison-trees keywords-extraction knn model-selection n-grams natural-language-processing nlp nlp-keywords-extraction pre-processing random-forest roc-curve sentiment-analysis sequence-to-sequence svm-classifier tensorflow tfidf-vectorizer topic-modeling twitter-sentiment-analysis

Last synced: 11 Mar 2025

https://github.com/itsfk/machine-learning-python

decison-trees kmeans-clustering knn machine-learning nlp-machine-learning python random-forest recomender-system

Last synced: 02 Mar 2025

https://github.com/grascya/breast-cancer-detection

Build classification models to predict whether the cancer type is Malignant or Benign.

breast-cancer-prediction decison-trees exploratory-data-analysis logistic-regression machine-learning model-explainability svm-classifier

Last synced: 14 Mar 2025

https://github.com/sarcode/ml-code-tutorials-udemy

Complete Tutorial Guide with Code for learning ML

apriori-algorithm artificial-neural-networks classification-methods decison-trees heirarchical-clustering kernel-pca kernel-svm kmeans-clustering knearest-neighbor-algorithm logistic-regression natural-language-processing polynomial-regression random-forest scikit-learn svm svr ucb

Last synced: 11 Apr 2025

https://github.com/sayande01/fake_news_prediction_machine_learning

This project evaluates logistic regression, random forest, decision tree, and gradient boosting classifier models for fake news detection. Using labeled data, it analyzes accuracy, confusion matrices, and ROC curves to understand each model's effectiveness in discerning between real and fake news.

binary-classification decison-trees gradient-boosting-classifier logistic-regression random-forest

Last synced: 06 Apr 2025

https://github.com/sayande01/employee_churn_prediction_machine_learning

Leveraging ColumnTransformer, pipelines, standardization, and encoding, we'll preprocess data. Using Logistic Regression, Decision Trees, Random Forest, and XGBoost, we'll analyze factors like job satisfaction, promotion, and salary to predict churn. This helps companies improve satisfaction, reduce turnover, and enhance stability.

decison-trees logistic-regression random-forest xgboost-classifier

Last synced: 06 Apr 2025