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xgboost-classifier

Here are 12 public repositories matching this topic...

aayomide / churn-risk-prediction

flask machine-learning churn-prediction xgboost-classifier

Updated May 29, 2024
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NicoHenzel / Insurance-Churn-Prediction

Project for insurance churn prediction with xgboost classification algorithm

data-science machine-learning r insurance shiny rmarkdown xgboost xgboost-classifier

Updated Nov 6, 2022
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nicolaivicol / ml-pred-default-deploy-aws-sagemaker

Modelling and prediction of default + deployment via AWS Sagemaker

python machine-learning aws-lambda xgboost boruta aws-sagemaker optuna xgboost-classifier deepchecks

Updated Dec 19, 2023
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nilsbayer / switcher.io

👨🏼‍⚕️🧠 Web-App predicting brain drain in AI research at public institutions

machine-learning mongodb flask-application xgboost-classifier

Updated Jan 22, 2023
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hasi03 / credit-risk-modeling

Predicting the probability of a loan applicant paying back the loan.This repository aims to analyze data from different types of personal loans and apply machine learning algorithms to develop a credit risk predictor.

random-forest financial-data incremental-learning xgboost-classifier boruta-algorithm

Updated Jun 19, 2024
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arthurfeitosasc / Credit-Risk-Analysis

In this analysis, the credit risk dataset consisting of 32851 loan records to determine how best to predict whether or not a loan applicant will repay.

numpy scikit-learn pandas logistic-regression decision-tree-classifier gridsearchcv xgboost-classifier

Updated Jan 12, 2023
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hugohiraoka / Travel_Package_Purchase_Prediction

Model to Predict if a customer will purchase a Travel Package

random-forest hyperparameter-tuning decision-tree-classifier gradient-boosting-classifier xgboost-classifier bagging-classifier

Updated Mar 19, 2024
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abisliouk / IE500-data-mining

The goal of this project is to create a classifier and see how accurately it can predict song genres. Taking a dataset from Spotify [Pandya, 2022], which is al- ready using machine learning algorithms for these purposes, can help assess if the resulting model can be considered apt for a large-scale business.

decision-tree-classifier multinomial-naive-bayes random-forest-classifier mlp-classifier knn-classifier gaussian-naive-bayes xgboost-classifier nearest-centroid-classifier

Updated Apr 13, 2024
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virajbhutada / Telecom-Customer-Churn-Prediction

Predict and prevent customer churn in the telecom industry with this project. Harness the power of advanced analytics and Machine Learning on a diverse dataset to develop a robust classification model. Gain deep insights into customer behavior and identify critical factors influencing churn using interactive Power BI visualizations.

data-science machine-learning neural-network python-library machine-learning-algorithms eda pandas data-analysis logistic-regression powerbi roc-curve decision-tree-classifier churn-prediction machine-learning-models random-forest-classifier classification-models customer-churn-prediction customer-attrition-analysis xgboost-classifier powerbi-desktop

Updated Jun 21, 2024
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StrangeCoder1729 / FinancialFraudDetector

python logistic-regression machinelearning flask-api decision-tree-classifier webdevelopment random-forest-classifier xgboost-classifier

Updated May 11, 2024
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PSTAT197-F23 / vignette-db-config

Creating SQL databases and writing queries in R.

queries sql databases knn-classification xgboost-classifier

Updated Dec 11, 2023
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DandiMahendris / Auto-Insurance-Fraud-Detection

This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.

machine-learning gradient-boosting-classifier fraud-detection xgboost-classifier

Updated Nov 14, 2023
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