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Chenna7893 / Optimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods

The project demonstrates the effectiveness of combining AdaBoost and Majority Voting for credit card fraud detection, providing a reliable and accurate solution to combat fraudulent activities in financial transactions.

sha256 cp-abe knn-algorithm adaboost-algorithm majority-voting

Updated Jan 15, 2025

meenujha / Global-Terrorism-Database-Capstone

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This project is about to classify if an event is terrorist or other forms of crime as per the Global Standards.

statistical-analysis naive-bayes-classifier randomforest pca logistic-regression decision-trees knn hypothesis-testing kmeans-clustering statistical-models smote gradient-boosting logit adaboost-algorithm

Updated Sep 13, 2020
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MyProVerse / sentiment-analysis-using-adaboost-machine-learning-project

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Multi-class sentiment analysis with AdaBoost on 27k Kaggle tweets: TF-IDF bigrams (10k feats), stratified split, GridSearchCV—62% acc, 0.78 AUC, robust to noise/imbalance via boosting & lemmatization.

python machine-learning algorithms machine-learning-algorithms artificial-intelligence adaboost datasets adaboost-algorithm training-models ai-model-training

Updated Sep 20, 2025
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siddharthtelang / Face-and-Pose-Classification

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Face detection (class and pose) using various Classifiers - Own Implementation

python machine-learning svm mda bayesian-methods pca-analysis classification bayesian-inference lda mdanalysis svm-classifier knn-classification boosted-classification adaboost-algorithm adaboostclassifier adaboost-classifier

Updated Aug 29, 2022
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saahilk1511 / ML-Model-Optimization

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Evaluate several classification algorithms and pick the best & the worst ones based on accuracy. And, to explore techniques and best practices for fine-tuning and optimizing machine learning models

random-forest xgboost dimensionality-reduction boosting-algorithms optimization-algorithms binary-classification classification-algorithm adaboost-algorithm model-optimization boosting-ensemble

Updated Sep 23, 2024
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matnvd / Fraud-Detection

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final Algorithms & Data Structures COS226 assignment

clustering-algorithm adaboost-algorithm

Updated Dec 29, 2025
Java

stanleyowomero / Employee-Absenteeism

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Employee-Absenteeism-Project-Work

random-forest logistic-regression standardization adaboost guassian knn-classifier svc-svm adaboost-algorithm

Updated Jun 26, 2020
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ZhouShirley / Find-Donors-MachineLearning

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A Project to leverage machine learning algorithms to predict the potential donors based on a number of features.

machine-learning adaboost-algorithm

Updated May 22, 2020
HTML

MarioMouse826 / Machine-Learning

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Built 5 ML models to identify customers likely to purchase loans in Makati, Philippines for Real Estate Purposes

random-forest decision-trees realestate adaboost-algorithm

Updated May 29, 2026
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AMIYA-debug / Travel-Product-Prediction

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This system uses the AdaBoost algorithm to efficiently identify and target potential customers for travel packages

machine-learning adaboost-algorithm

Updated Sep 3, 2025
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smitkiri / ml-from-scratch

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Implementation of various machine learning algorithms from scratch.

machine-learning adaboost decision-trees decision-tree decision-tree-classifier decision-tree-algorithm adaboost-learning adaboost-algorithm

Updated Dec 21, 2019
Python

krishna-280792shinde / Machine_Learning_Notes

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Machine Learning Models

random-forest svm linear-regression xgboost pca logistic-regression decision-trees ensemble-model knn-algorithm adaboost-algorithm

Updated Oct 17, 2022

garvitjain-02 / Machine-Learning-Algorithms

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Various machine learning algorithms implemented for practice! Welcome to this Machine Learning Algorithms repository which is a comprehensive guide for anyone looking to understand the inner workings of different ML algorithms.

python machine-learning random-forest linear-regression scikit-learn machine-learning-algorithms logistic-regression decision-trees kmeans-clustering svm-classifier knn-algorithm adaboost-algorithm

Updated Dec 12, 2024
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pha123661 / Decision-Tree-Ensembles-Bagging-and-Boosting

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Implements the Decision Tree (CART), AdaBoost and Random Forest algorithm from scratch using NumPy.

tutorial random-forest decision-tree-classifier adaboost-algorithm

Updated Feb 15, 2023
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AnasBrital98 / Most-Common-Algorithms-of-Machine-learning

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In This Repository you can find The Explanation and The Implementation of the Most Famous Machine Learning Algorithms

python machine-learning random-forest svm linear-regression machine-learning-algorithms naive-bayes-classifier logistic-regression perceptron kmeans-clustering knn-classification decison-trees adaboost-algorithm linear-regressions

Updated Sep 17, 2021
Python

jeevankande / Ensemble-Techniques

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Ensemble methods is a machine learning technique that combines several base models in order to produce one optimal predictive model. To better understand this definition lets take a step back into ultimate goal of machine learning and model building. This is going to make more sense as I dive into specific examples and why Ensemble methods are u…

random-forest cross-validation gradient-boosting voting-classifier xgboost-algorithm adaboost-algorithm stacking-ensemble bagging-ensemble