boosting-algorithms | Topic | Ecosyste.ms: Repos

Topic: "boosting-algorithms"

antoniatsv/ML-algorithms-Sim-Study

A simulation study completed during a visit at the Microsoft Research, Cambridge (May-Sept, 2022)

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SofiaKhutsieva/ML_outflow_of_clients_from_a_telecommunication_company

Прогнозирование оттока пользователей (Проект в skillbox)

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Abdul-AA/Shark-Tank-Pitches

Predictive Modeling and Clustering Insights for Success on Shark Tank

Language: R - Size: 1.27 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

julio-segura/boosting-algorithms-project

Improving previous trainings with boosting algorithms

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niveditha093/VisaApproval

Visa approval process by leveraging machine learning on OFLC's extensive dataset, aiming to recommend suitable candidate profiles for certification or denial based on crucial drivers.

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Mazcho/Model-Boosting-untuk-memprediksi-kualitas-udara-di-indonesia

Halo! Selamat datang di Repository ku. Dalam Repository ini kamu akan melihat hasil eksperiment ku membandingkan 5 model boosting untuk memprediksi kualitas udara yang ada di jakarta.

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ArslanKAS/Python-Chilla-2.0

All the content that I learned through two Courses. One is called "Python Chilla" and the second one is called "100 Days of Machine Learning"

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Mukaffi28/TeaLeafNet-A-Hybrid-CNN-Boosting-Approach-for-Tea-Leaf-disease-Classification

Tea Leaf disease Classification

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CodeLtDave/Boosting-Algorithms-ML-Seminararbeit

Exploration of Boosting Algorithms in Machine Learning: This repository hosts a seminar paper examining key boosting algorithms like AdaBoost, Gradient Boosting, and XGBoost. It includes theoretical insights, practical applications, and comparative analyses, providing a comprehensive understanding of boosting techniques in ML.

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Ch-Jameel/Classification-modeling-work-using-SVC-KNN-DT-etc

Welcome to our Classification Modeling Project! In this project, we've employed various machine learning algorithms and techniques to solve a classification problem.

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Kmohamedalie/Letter_Recognition

Alphabet recognition

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Shrinidhi1/New-User-Engagement-Challenge

Given the data of the user activity of a month, can predict user activity for the upcoming month.

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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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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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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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sxtforreal/PlusDS

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

Language: R - Size: 18.1 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mfahmialkautsar/Predictive-Analytics-Employees-Burnout

Prediction of Employee Burnout Rates at Work

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danielseussler/costmboost

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

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danielseussler/ssahealthriskfactors

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

Language: R - Size: 32.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shaizm/data_science_portfolio

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

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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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k-loki/re_new-machinehack

A Machinehack ML challenge

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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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AlessandraFaria/AdaBoosting

Complete BOOSTING Process

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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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anshu0612/ml-algo-from-scratch

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

Language: Python - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

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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AbhishekSinghAulakh/Boosting

Adaboost & XGBoost algorithm code samples

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

Binary Classification on West Nile Virus Dataset.

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shreyash2610/Machinehack-Mathcothon-Car-Price-Prediction

With the rise in the variety of cars with differentiated capabilities and features such as model, production year, category, brand, fuel type, engine volume, mileage, cylinders, colour, airbags and many more, we are bringing a car price prediction challenge for all. We all aspire to own a car within budget with the best features available. To solve the price problem we have created a dataset of 19237 for the training dataset and 8245 for the test dataset.

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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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alexZajac/altegrad_kaggle_2021

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

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divyansh1195/Machine-Learning-Projects

Implementation of Machine Learning Projects

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Aysenuryilmazz/TelecomCustomersChurnPrediction

churn prediction for telecom company

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abhiram-ds/telecom_churn_case_study

Telecom Churn analysis using various tree based classification models

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aik7/Boosting

Boosting algorithm for classification and regression using rectangular maximum agreement problem

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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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nakshatrasinghh/Bank-Fears-Loanliness-Prediction

HackerEarth Machine Learning Problem solved with ❤️ by Nakshatra Singh.

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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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