Movatterモバイル変換

python finance machine-learning deep-learning neural-network naive-bayes-classifier artificial-neural-networks logistic-regression convolutional-neural-network decision-tree-classifier knn-classification ensemble-classifier random-forest-classifier xgboost-classifier financial-fraud bagging-ensemble boosting-ensemble financial-fraud-detection

Developed and evaluated machine learning and deep learning models for detecting financial fraud.

UpdatedMay 12, 2024
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shubhamsawant0601 /Machine_Learning

machine-learning random-forest clustering svm naive-bayes machine-learning-algorithms xgboost hyperparameter-optimization cart adaboost knn bagging-ensemble boosting-ensemble

Repository of explaination and python codes with Scikit-Learn for different ML algorithms.

UpdatedJul 9, 2022
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ligerfotis /CSE6363_Machine_Learning

clustering ensemble-learning decision-trees support-vector-machines knn-classification logistic-regression-algorithm perceptron-learning-algorithm dendrogram poisson-regression logistic-regression-scratch linear-regression-scratch neural-network-from-scratch bagging-ensemble boosting-ensemble gaussian-naive-bayes-classification

Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21

UpdatedMay 2, 2021
Python

hossamAhmedSalah /Machine_Learning_MSP

audio machine-learning random-forest images linear-regression ical artificial-intelligence pca artificial-neural-networks ensemble-learning logistic-regression adaboost polynomial-regression unsupervised-learning knn decision-tree kmeans-clustering microsoft-student-partners bagging boosting-ensemble

MSP 23 workshop of machine learning

UpdatedOct 29, 2023
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Ayda-Darvishan /Tuning-ML-Classifiers

pipeline random-forest exploratory-data-analysis cross-validation supervised-learning xgboost adaboost tuning-parameters gradient-boosting oversampling undersampling gridsearchcv randomizedsearchcv bagging-ensemble boosting-ensemble

The project includes building seven different machine learning classifiers (including Linear Regression, Decision Tree, Bagging, Random Forest, Gradient Boost, AdaBoost, and XGBoost) using Original, OverSampled, and Undersampled data of ReneWind case study, tuning hyperparameters of the models, performance comparisons, and pipeline development f…

UpdatedMay 9, 2023
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brunograssano /TP-Organizacion-de-datos

python machine-learning random-forest naive-bayes sklearn jupyter-notebook pandas logistic-regression knn svm-classifier keras-tensorflow fiuba voting-classifier 7506 tree-classifiers boosting-ensemble

TPs de la materia Organización de Datos - Catedra Collinet - FIUBA - 2C2020

UpdatedMar 22, 2021
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Rakan-z /KCL-DS-Assignments-MSc

clustering classification ensemble-learning support-vector-machines decision-tree-classifier kmeans-clustering-algorithm bagging-ensemble boosting-ensemble courseworks

This repository consists of folders which include some of the courseworks I have completed in my Data Science MSc at KCL.

UpdatedNov 28, 2021
Python

karthik-d /FungiCLEF-2022-using-Network-Ensembles

machine-learning deep-learning tensorflow keras xgboost ensemble-learning gradient-boosting-classifier imageclef boosting-tree clef out-of-distribution xgboost-classifier boosting-ensemble fungiclef

Scripts, figures and working notes for the participation in FungiCLEF-2022, part of the 13th CLEF Conference, 2022

UpdatedApr 8, 2024
Python

Serfati /ensamble-learning

ensemble-learning cascade-classifier boosting-ensemble

🌀 Ensemble learning approch implementing cascading meta-learner

UpdatedApr 23, 2021
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Param-Sahu /Exit_Poll_and_Vote_Prediction_Model

github python machine-learning logistic-regression prediction-model linear-discriminant-analysis election-analysis knn-classification random-forest-classifier exit-polls navies-bayes-classifer adaboostclassifier streamlit-webapp boosting-ensemble voter-data-analysis bagging-classifier

The objective is to analyze voter behavior based on demographic and opinion-based variables and build a classification model that can predict which party a voter will vote for. This model is used to simulate an exit poll.

UpdatedMay 8, 2025
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GyanPrakashkushwaha /Customer-Churn-Prediction

neural-network sklearn mlops mlflow-tracking-server boosting-ensemble bagging-classifier

Customer Churn Prediction using Machine Learning and Deep learning. With Integration of MLFlow

UpdatedNov 27, 2023
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jElhamm /Model-Ensembles-Boosting-In-Machine-Learning

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

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

UpdatedJun 27, 2024
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yuvalofek /py_xgboost