https://github.com/somjit101/facebook-friend-recommendation

This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media platforms and a directed edges (or 'links') indicates that one person 'follows' the other, or are 'friends' on social media. Now, the task is to predict newer edges to be offered as 'friend suggestions'.

bagging-ensemble boosting-ensemble cross-validation decision-tree-classifier decision-trees facebook-friend-recommendation gradient-boosting graph graph-algorithms graph-similarity graph-theory machine-learning randomizedsearchcv social-network social-network-analysis xgboost

Last synced: 14 Apr 2025

https://github.com/prneidhardt/ensemble-learning

EasyVisa Project

bagging-ensemble boosting-ensemble stacking-ensemble

Last synced: 25 Apr 2025

https://github.com/pythondeveloper6/ensemble-learning-beginner-guide

machine learning ensemble learning types in easy steps with examples

bagging-ensemble decision-trees ensemble-learning knn-classification logistic-regression machine-learning numpy random-forest stacking-ensemble svc voting-classifier

Last synced: 30 Jun 2025

https://github.com/moindalvs/assignment_random_forest_1

Use Random Forest to prepare a model on fraud data treating those who have taxable income <= 30000 as "Risky" and others are "Good"

bagging-ensemble bagging-trees data-science hyperparameter-tuning random-forest-classifier

Last synced: 04 Feb 2026

https://github.com/harsha-vardhan-tangudu/machine-learning-intrusion-detection-system

ML project based on intrusion detection system trained dataset

bagging-ensemble boosting-algorithms decision-trees dimensionality-reduction ensemble-model feature-engineering feature-selection ids intrusion-detection-system ipynb-jupyter-notebook machine-learning ml ml-project random-forest supervised-learning unsupervised-learning xgboost-algorithm

Last synced: 04 Mar 2026

https://github.com/linggarm/ensemble-learning-comparison-on-diabetes-classification

Comparison of ensemble learning methods on diabetes disease classification with various datasets

adaboost bagging bagging-ensemble boosting boosting-ensemble cat-boost diabetes-prediction ensemble-learning ensemble-machine-learning ensemble-methods extreme-gradient-boosting gradient-boosting light-gradient-boosting-machine machine-learning python stacking stacking-ensemble

Last synced: 27 Apr 2026

https://github.com/shraddha-r0/pgp-ml-ai-portfolio

A series of six hands-on projects completed during my PGP ML and AI academic training with UT Austin and Great Learning

artificial-neural-networks bagging-ensemble bivariate-analysis boosting-ensemble cross-validation data-pre-processing data-science decision-tree-classifier exploratory-data-analysis hyperparameter-tuning keras large-language-models machine-learning model-building-and-evaluation random-forest-classifier smote tensorflow transfer-learning-with-cnn univariate-analysis word-embeddings

Last synced: 15 Apr 2026

https://github.com/anvesham/machinelearning_models_using_matlab

Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers

bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression

Last synced: 11 Apr 2026

https://github.com/khushi130404/ensemble-learning

This project demonstrates various ensemble learning techniques using Jupyter Notebook. The goal is to explore how ensemble methods can improve the performance of machine learning models for both regression and classification tasks.

adaboost bagging-ensemble gradient-descent random-forest stacking voting-ensemble

Last synced: 31 Jul 2025

https://github.com/sadiq18/predictpodcastlisteningtime

Kaggle contest to predict listening time of a podcast episode.

bagging-ensemble boosting-algorithms feature-engineering kaggle machine-learning regression-models xgboost

Last synced: 18 Apr 2026

https://github.com/balaka-18/ensembles-1-

Notebooks on ensemble techniques.

bagging-ensemble classification random-forest random-forest-classifier

Last synced: 30 Jun 2025

https://github.com/niteshchawla/ola-ensemblelearning

Recruiting and retaining drivers is seen by industry watchers as a tough battle for Ola. Churn among drivers is high and it’s very easy for drivers to stop working for the service on the fly or jump to Uber depending on the rates.

bagging-ensemble confusion-matrix encoding ensemble-learning feature-engineering featureimportance gridsearchcv hyperparameter-tuning machine-learning precision-recall random-forest roc-auc-curve scaling-methods smote-sampling

Last synced: 27 Feb 2025

https://github.com/FaraazArsath/Ensemble_techniques_breast_cancer_detection

Ensemble Learning Techniques - Breast Cancer Classification

bagging-ensemble decision-tree-classifier feature-selection knn-classification logistic-regression random-forest-classifier svm-classifier voting-classifier xgboost-classifier

Last synced: 15 Sep 2025

https://github.com/mrtejas/ml-algos

A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.

adaboost bagging-ensemble decision-trees gmm-clustering gradient-boosting hidden-markov-models kernel-density-estimation knn-classification machine-learning mlp-classifier mlp-regressor multinomial-logistic-regression pca-analysis random-forest stacking-ensemble

Last synced: 15 May 2025

https://github.com/trilokida/named-entity-recognition-and-classification

Given a string statement, the aim is to identify the B-Protein entity in the statement.

bagging-ensemble classification dictvectorizer ensemble-learning machine-learning naive-bayes-classifier named-entity-recognition ner random-forest scikit-learn

Last synced: 17 May 2026

https://github.com/tejaswirupa/youth-drug-use-behavior-analysis-using-decision-trees

Predicted marijuana use behavior among youth using decision trees and ensemble methods. Achieved over 89% accuracy and identified peer influence and friend opinions as key factors.

bagging-ensemble boosting data-science decision-trees machine-learning random-forest

Last synced: 24 Feb 2026

https://github.com/newking9088/case_study_ml_predictive_modeling

A comprehensive case study on implementing predictive modeling in insurance

ab-testing bagging-ensemble boosting-tree feature-selection glm insurance machine-learning mlops-workflow model-monitoring modeldeployment modelvalidation regulatory-compliance risk-analysis

Last synced: 10 Feb 2026

https://github.com/trilokida/medication-compliance-forecasting

bagging-ensemble boosting-ensemble classification compliance ensemble-learning forecasting hackerrank machine-learning medication medication-compliance-forecasting random-forest xgboost

Last synced: 28 Apr 2026

https://github.com/jelhamm/model-ensembles-bagging-in-machine-learning

"This repository contains implementations of Boosting method, aimed at improving predictive performance by combining multiple models. by using titanic database."

bagging bagging-ensemble data-analysis database-analysis datamining datamining-algorithms ensemble-machine-learning ensemble-model jupyter-notebook machine-learning-models machine-learning-projects matplotlib module numpy-library pandas-library python sklearn-library

Last synced: 30 Apr 2026

https://github.com/sayande01/ensemble_learning_2

This project explores Bagging (Bootstrap Aggregating) for both classification and regression tasks. By training multiple models on different data subsets, Bagging improves accuracy and resilience. Using synthetic and real-world datasets, the project demonstrates how Bagging enhances performance over single-model approaches.

bagging-ensemble random-forest-classifier

Last synced: 20 Jan 2026

https://github.com/selcia25/machine_learning_algorithms

👩‍💻This repository contains implementations of various machine learning algorithms, along with example datasets and Jupyter Notebook files for demonstration.

bagging-ensemble boosting classification kmeans-clustering linear-regression multilayer-perceptron-network naive-bayes-classifier random-forest-classifier regression-models

Last synced: 09 May 2026

https://github.com/yyomna-mmaged/sound_classification-puppy-barbie-

This project implements a machine learning system that classifies audio clips as either "Barbie" or "Puppy" voices using acoustic feature extraction and logistic regression with bagging ensemble.

bagging-ensemble logistic-regression ml

Last synced: 11 Oct 2025

https://github.com/jeffreywijaya100/exercise-ml

solving case and answer question given about machine learning

bagging-ensemble dbscan-clustering decision-tree heart-failure hierarchical-clustering kmeans-clustering linear machine-learning metrics rbf svm

Last synced: 11 Sep 2025

https://github.com/ahmedabdalkreem/diabetes

Complete project of people that have diabetes and show what features that explain that person be sick.

bagging-ensemble classification descision-tree ensemble logistic-regression matplotlib numpy pandas python3 sklearn svm voting-classifier

Last synced: 05 Apr 2026

https://github.com/abdul-aa/shark-tank-pitches

Predictive Modeling and Clustering Insights for Success on Shark Tank

bagging-ensemble boosting-algorithms cluster-analysis clustering data-visualization ggplot2 kmeans-clustering r-programming

Last synced: 14 Mar 2025

https://github.com/wasifsohail5/heart-disease-risk-stratification-and-patient-clustering-analysis

Welcome to a real-world data science and machine learning project focused on improving healthcare outcomes! This repository provides a full workflow for predicting heart disease risk and uncovering patient subgroups using the UCI Heart Disease Dataset.

bagging-ensemble clustering elbow-method gradient-boosting heart-disease pca supervised-learning unsupervised-learning

Last synced: 23 Jul 2025

https://github.com/Khushi130404/Ensemble-Learning

This project demonstrates various ensemble learning techniques using Jupyter Notebook. The goal is to explore how ensemble methods can improve the performance of machine learning models for both regression and classification tasks.

adaboost bagging-ensemble gradient-descent random-forest stacking voting-ensemble

Last synced: 19 Sep 2025

https://github.com/s1dewalker/credit-risk-modeling-in-python

Credit risk modeling | EDA | Python | SQL | Model Validation and Tuning | Classifier

bagging-ensemble classifier credit-card credit-risk credit-risk-analysis exploratory-data-analysis model-validation predictive-modeling python random-forest risk risk-modelling sql tuning

Last synced: 17 May 2026