Projects in Awesome Lists tagged with adaboostclassifier

https://github.com/sorna-fast/fraud-detection

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite, Accuracy: 98% AUC-ROC

adaboostclassifier eda gradientboostingclassifier imblearn lgbmclassifier matplotlib-pyplot numpy pandas-dataframe pickle-file plotly-express randomforestclassifier scipy-stats seaborn-plots sklearn-library streamlit-webapp xgbclassifier

Last synced: 28 Apr 2026

https://github.com/cyprianfusi/frauddetectionmodel-with-gretl

With this model: the amount of backlog would be reduced significantly, the amount of staff needed to do the job would be reduced drastically, the processing time would be shortened significantly and more cases of fraudulent transactions would be tracked down in a given amount of data processed - more than 40% increase in efficiency!

adaboostclassifier backlog cap-curve imbalanced-data logistic-regression

Last synced: 21 Mar 2025

https://github.com/injamul3798/bangla-newspaper-categorization-using-ml-models

In my Bangla news categorization project, I utilized XGBoost for efficient pattern recognition, SVM for handling non-linear relationships, and an ensemble of Random Forest, AdaBoost, and Logistic Regression to collectively enhance precision. This diverse approach ensures robust and accurate classification of Bangla news articles.

adaboostclassifier logistic-regression ml nlp sentiment-analysis svm text-classification xgboost-classifier

Last synced: 20 Jul 2025

https://github.com/akarshankapoor7/adaboost_tutorial

The AdaBoost (Adaptive Boosting) algorithm is a popular ensemble method used in machine learning to improve the performance of weak classifiers. It combines multiple weak classifiers to create a strong classifier, focusing more on the misclassified instances in each subsequent iteration.

adaboostclassifier data-science ensamble-methods

Last synced: 03 Oct 2025

https://github.com/geekquad/adaboost-from-scratch

A basic implementation of AdaBoost algorithm from Scratch.

adaboost adaboostclassifier sklearn

Last synced: 12 May 2026

https://github.com/brunocampos01/finding-donors

Data Science project using Census Income dataset. (Kaggle Competition)

adaboost adaboostclassifier data-science dataset decision-tree decision-trees finding-donors ine5644 kaggle kaggle-competition machine-learning python support-vector-machine svm uci-machine-learning

Last synced: 06 May 2026

https://github.com/estevesx10/ml1-adaboost-analysis-optimization

AdaBoost Analysis and Optimization [Machine Learning I Course Project]

adaboostclassifier boosting-ensemble weak-learners

Last synced: 24 Oct 2025

https://github.com/abideen-olawuwo/stroke-prediction

A stroke Prediction Model

adaboostclassifier catboost decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 09 Apr 2026

https://github.com/nikita620/credit-card-fraud-detection-

This project focuses on combining the strengths of AdaBoost and majority voting to create a highly efficient fraud detection model. The goal is to provide a reliable method for detecting fraudulent transactions, ensuring the safety of users' financial data.

adaboostclassifier majority-voting sql sqlyog

Last synced: 09 Mar 2026

https://github.com/arya920/desease-prediction

This repository contains code for a machine learning project focused on predicting the likelihood of a person having diabetes. The project includes the implementation of various classification models and an Artificial Neural Network (ANN) for classification.

adaboostclassifier artificial-neural-networks classification extratreesclassifier gradient-boosting logistic-regression machine-learning neural-network random-forest support-vector-machines xgboost

Last synced: 21 Aug 2025

https://github.com/djdhairya/crop-recommendation

Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.

adaboostclassifier bagging-classifier csv decision-trees gaussian html knn-classification logistic-regression machine-learning machine-learning-algorithms matplotlib model numpy pandas random-forest random-forest-classifier scikit-learn seaborn svc

Last synced: 11 Apr 2026

https://github.com/prakshi-23/bank-app-management-project-v1-

A Bank App GUI made using Python (libraries used tkinter, customtkinter, pandas etc.) and the data is stored in backend in SQL Database and usind pandas stored in excel file as well. This excel file is further used to create a dashboard in Power BI and also used in machine learning alogorithm.

adaboostclassifier advanced-excel customtkinter customtkinterprojects lazy-classifier logistic-regression machine-learning mysql pandas pandas-dataframe powerbi powerbi-dashboard python randomint smtplib sql tkinter tkinter-gui

Last synced: 13 Apr 2026

https://github.com/oriolpalacios/datacamp-rentaldvdinfo-project

DVD Rental Prediction leverages regression models to forecast rental duration, guiding optimal inventory management for DVD rental companies. It combines data visualization, feature engineering, and model evaluation within a Jupyter Notebook to deliver actionable insights.

adaboostclassifier gradient-boosting randomforestclassifier sklearn-library

Last synced: 11 Oct 2025

https://github.com/wittyicon29/churn-prediction

Comparison of different learning algorithms with each other using the Customer Churn Dataset from Kaggle

adaboostclassifier artificial-neural-networks lightgbm traditional-algorithm xgboost-classifier

Last synced: 24 Oct 2025

https://github.com/muhamedhekal/finding_donors_for_charityml

adaboost adaboostclassifier classification-algorithm machine-learning preparation python

Last synced: 01 May 2026

https://github.com/abideen-olawuwo/titanic-naive-bayes

Titanic Prediction

adaboostclassifier logistic-regression matplotlib pandas random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 04 May 2026

https://github.com/harmanveer-2546/sports-bets-winning-algorithm

Sports betting is the activity of predicting sports results and placing a wager on the outcome.

adaboostclassifier ascii betting-models ensemble extratreesclassifier gradientboostingclassifier kneighborsclassifier labelencoder matplotlib mlpclassifier nfl nflstats numpy pandas plotly python seaborn sports-data string winning-algorithm

Last synced: 08 May 2026

https://github.com/abideen-olawuwo/water-potability

A Water Potability Model

adaboostclassifier gaussian kneighborsclassifier linear-regression logistic-regression matplotlib numpy pandas seaborn sklearn xgboost-classifier

Last synced: 10 Apr 2026

https://github.com/yasinsametkaraca/breast-cancer-classification

ada-boost-classifier adaboostclassifier breast-cancer decision-tree-classifier gradient-boosting k-nearest-neighbors logistic-regression naive-bayes-classifier random-forest-classifier support-vector-machine

Last synced: 13 May 2026

https://github.com/lohiyah/ai-based-fraud-detection

A comparative analysis of machine learning and deep learning algorithms for fraud detection, featuring XGBClassifier, CatBoostClassifier, and LGBMClassifier, as well as ANN, CNN, RNN, LSTM, and Autoencoders for performance benchmarking

adaboostclassifier ann autoencoder catboost-classifier cnn deep-learning gradientboostingclassifier lgbmclassifier lstm machine-learning rnn xgboost-classifier