ensemble-classifier

Here are 9 public repositories matching this topic...

ahmedshahriar / Customer-Churn-Prediction

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

kaggle xgboost hyperparameter-optimization scipy lightgbm binary-classification ensemble-classifier catboost pandas-python classification-models optuna customer-churn-prediction stacking-ensemble

Updated Nov 9, 2021
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alexandrebvd / udacity-capstone-project-credit-card-fraud-prediction

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Udacity capstone project | Credit card fraud prediction | Supervised Learning | Ensemble model | Data Sampling

machine-learning credit-card credit-card-fraud supervised-learning ensemble-model smote oversampling udacity-machine-learning-nanodegree sampling-methods ensemble-classifier undersampling ensemble-machine-learning

Updated Mar 7, 2019
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SimplifyData / Charity-ML

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Predict donors using supervised learning, ensemble methods and data science

data-science random-forest python3 naive-bayes-classifier supervised-machine-learning ensemble-classifier pandas-python

Updated Dec 26, 2018
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fatimaAfzaal / Diabetes-Prediction-Web-App

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This repository contains the code for a web-based diabetes prediction application using a machine learning model. The application is built using Flask and allows users to input various health parameters to predict the likelihood of diabetes using ensemble voting classifier.

python flask machine-learning random-forest svm vscode flask-application ensemble-learning logistic-regression diabetes support-vector-machines ensemble-model voting-classifier ensemble-classifier diabetes-prediction

Updated Oct 2, 2023
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YalesRios / Samel

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Implementation of Saliency-based Agreement Metric for Ensemble Learning

machine-learning neural-network artificial-intelligence neural-networks artificial-neural-networks ensemble ensemble-learning ensemble-model saliency-map saliency ensemble-classifier saliency-detection ensemble-machine-learning

Updated Oct 15, 2020
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ShahriarHA / credit-mix-classification

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Credit Mix Classification is an end-to-end machine learning project that predicts a customer’s credit mix (Good, Standard, Bad) using financial and behavioral data. It covers data cleaning, feature engineering, outlier analysis, model-specific preprocessing pipeline, and comparison of RandomForest, XGBoost and LightGBM models.

python3 feature-engineering data-cleaning ensemble-classifier random-forest-classifier sklearn-library xgboost-classifier lightgbm-classifier