GitHub topics: boosting-algorithms

Repositories

akshitbansall/anomaly-detection-stgi

The Anomaly Detection project aims to develop a system that can identify and flag unusual patterns or outliers in a given dataset or system. By utilizing advanced statistical techniques and machine learning algorithms, the project aims to detect deviations from normal behavior that could indicate potential anomalies

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HarshiniAiyyer/Gradient-Boosting-for-Cryptomarkets

Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.

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BrunoRaphaell/previsao_precos_imoveis_zap

Tratamento dos dados, análise gráficas e desenvolvimento de modelos de regressão de machine learning para previsão do preço de imóveis residenciais no Rio de Janeiro.

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nicoladisabato/online-shoppers-intention

Binary classification with Boosting ensemble algorithm

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Showndarya/data-science-kaggle-competition

The goal of this competition is to predict the star rating associated with user reviews from Amazon Movie Reviews using the available features (BU CAS CS 506)

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DhruvSrikanth/Boosting-Theory

A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.

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qiyiping/gbdt

Language: C++ - Size: 597 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 94 - Forks: 70

Mertdil/MachineLearning_model_with_Stock_Invesment

Machine Learning Model for Stock Investment

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agrawal-priyank/machine-learning-classification

Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent for optimization in Python

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danielseussler/costmboost

Cost-sensitive loss in the component-wise boosting framework.

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sxtforreal/PlusDS

Identified the drivers of the risk of coronary heart disease and cardiovascular disease using the Sleep Heart Health Study dataset

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mfahmialkautsar/Predictive-Analytics-Employees-Burnout

Prediction of Employee Burnout Rates at Work

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xiaodaigh/JLBoostMLJ.jl 📦

MLJ.jl interface for JLBoost.jl

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danielseussler/ssahealthriskfactors

Replication files for my master's thesis. Component-wise boosting for identification of health risk factors.

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anubhavshrimal/SML-Malaria-Detection

Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells

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ShalyginaA/badacost-data-mining-seminar

Implementation of BAdaCost - multi-class cost-sensitive boosting algorithm

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gmayuri1904/cricket-wc-score-predictor

The model predicts the live score for cricket matches with an accuracy of +- 1.7 runs.

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Gurudev333/Loan_Prediction_by_ensemble_machine_learning_techniques

Used ensemble methods such as boosting, voting, Bagging

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ryan-wolbeck/ngboost-tuner

A CLI Tuner of NGBoost

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somjit101/Netflix-Movie-Recommendation

A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.

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shaizm/data_science_portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

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samapatil1729/Machine-Learning-Practice

Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.

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W-Mrt/Machine-Learning-for-Computational-Physics Fork of Melikakmm/Machine-learning-projects

Machine learning applications

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AIML-research/AdaFair Fork of iosifidisvasileios/AdaFair

"AdaFair: Cumulative Fairness Adaptive Boosting" algorithm (CIKM 2019) and its extension to other parity-based fairness notions (@KAIS2022); Repository maintained by Vasileios Iosifidis.

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AlessandraFaria/AdaBoosting

Complete BOOSTING Process

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tisonet/elasticsearch-termrecencyboosting-plugin

Elasticsearch custom similarity plugin to calculate score based on TF * IDF and term recency. Plugin causes that terms with more recent timestamp have higher score.

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sabujhh/speaker-accent-recognition

Speaker's Accent Recognition Using Machine Learning Algorithms

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sabujhh/garment-worker-productivity-prediction

Explainable Garment's Workers Productivity Prediction Using Machine Learning Algorthms & SHAP

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yusufseyitoglu/Gradient_Boosted_Tree

Diagnosis of Cancer Using Blood Microbiome Data

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Geneille/Credit_Risk_Analysis

Build and evaluate several machine learning algorithms to predict credit risk

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djzdjzdl/Data_Based_Security

Data based security code for malware detection using various of boost algorithm

Language: Python - Size: 15.1 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

AbhishekSinghAulakh/Boosting

Adaboost & XGBoost algorithm code samples

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yubin-park/bonsai-dt

Programmable Decision Tree Framework

Language: Python - Size: 3.81 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 34 - Forks: 6

imrahulr/Lord-of-the-Machines

Machine Learning for Email Marketing Campaigns

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86lekwenshiung/Binary-Classification-on-West-Nile-Virus

Binary Classification on West Nile Virus Dataset.

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anshu0612/ml-algo-from-scratch

Implemented a Decision Tree Regressor, a Gradient Boosting Regressor, and a Hierarchical Clustering Algorithm.

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pooya-row/ML-Exercises

I develop my personal ML projects here

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akshayratnawat/BoostingAlgorithms

This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost

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dmarcous/CRAN_deepboost

Deepboost R-package for submission

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alexZajac/altegrad_kaggle_2021

Predicting the academic success using multi-faceted data and limited supervision.

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saromanov/boosting

Implementation of boosting algorithms

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ttunja/Boosting-Algorithms

XGBoost vs LightGBM vs CatBoost

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abhiram-ds/telecom_churn_case_study

Telecom Churn analysis using various tree based classification models

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SohelRaja/UndErNsembled

Reducing imbalanced dataset (Undersampling) by Consensus Clustering (Simple Majority Voting function) and validating the changes using different classifier model with bagging and boosting techniques.

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Akai01/MicEcon

Microeconometric analysis of social housing in Austria.

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niketan108/RF-and-GBDT-using-XGBOOST-on-amazon-food-dataset

Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset

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jiya07/Income-prediction-using-boosting-algorithms

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Trinkesh/Machine-Learning-Algorithms

beginners Simple Machine learning Algorithms

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rupalshrivastava/Supervised-Machine-Learning

Implemented support vector machines, boosting, and decision trees for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like error rates vs train data size, error rates vs clock time. Compared performance using learning curves and confusion matrices across algorithms.

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