Projects in Awesome Lists tagged with xgboost-classifier

https://github.com/amzn/confident-sinkhorn-allocation

Pseudo-labeling for tabular data

pseudo-labeling semi-supervised-learning sinkhorn-algorithm tabular-data uncertainty-estimations xgboost-classifier

Last synced: 11 Nov 2024

https://github.com/nishant2018/classification-with-nlp-xgboost-and-pipelines

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language.

classification nlp nlp-library nlp-machine-learning xgboost xgboost-classifier

Last synced: 11 Nov 2024

https://github.com/nishant2018/academic-success-classification-xgboost-

XGBoost is an open-source machine learning library that provides efficient and scalable implementations of gradient boosting algorithms. It is known for its speed, performance, and accuracy, making it one of the most popular and widely-used machine learning libraries in the data science community.

classification machine-learning machine-learning-algorithms xgboost xgboost-classifier xgboost-python

Last synced: 11 Nov 2024

https://github.com/ali-el-badry/machine-learning-algorithm

It is a Repo that contain different type of Machine Learning Algorithm like Regression ,classification and clustering that will be added soon

ai data-science data-visualization decision-tree feature-selection knn linear-regression logestic-regression machine-learning modelling random-forest svc svm titanic-kaggle xgboost xgboost-classifier

Last synced: 11 Nov 2024

https://github.com/abhinavsharma07/fraud_analytics-credit_card_fraud_detection

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

banking data-analysis decision-trees hyperparameter-optimization machine-learning-algorithms pipelines random-forest-classifier svm-classifier xgboost-classifier

Last synced: 12 Nov 2024

https://github.com/tderick/android-malware-detection

This project aims to build an effective classification model to classify a mobile application as Benign or Malware. To do so, we'll evaluate multiple classification models using different metrics and select the best model with better performance for our dataset. Finally, we deployed our model as a REST API using FastAPI.

android androidmalware classification fastapi machine-learning machine-learning-algorithms xgboost-classifier

Last synced: 11 Nov 2024

https://github.com/jofaval/xgboost-cheatsheet

Quick cheatsheet about XGBoost, a Gradient Boosted regularized technique published in 2014

cheatsheet data-science google-colab python xgboost xgboost-classifier xgboost-regressor

Last synced: 21 Oct 2024

https://github.com/mahnoorsheikh16/loan-default-prediction

Credit risk is the borrower’s inability to repay a loan. Machine Learning models can predict risky customers and reduce lender losses. By analyzing behavior and demographics of past customers, these insights can apply to future customers for better loan decisions. This study aims to find the most suitable model for predicting loan defaults.

auc-score binary-classification-algorithms credit-card-fraud-detection data-cleaning data-science decision-tree-classifier exploratory-data-analysis loan-default-prediction logistic-regression machine-learning naive-bayes-classifier pre-processing python random-forest-classifier support-vector-machines xgboost-classifier

Last synced: 07 Nov 2024

https://github.com/johannaschmidle/churnpredictionmodel

Machine learning models to predict customer churn in a bank using features like age, credit score, and account activity, implemented with Random Forest and GridSearchCV for optimal performance (Python)

customer-churn-prediction eda knearest-neighbor-classifier logistic-regression machine-learning randomforestclassifier svc-model xgboost-classifier

Last synced: 12 Nov 2024

https://github.com/luluw8071/twitter-fake-profile-detection

Machine learning models for identifying real-time fake profiles on Twitter

fake-profile-detection machine-learning python random-forest-classifier sckiit-learn svm-classifier xgboost-classifier

Last synced: 12 Nov 2024

https://github.com/pddiii/nba-dpoy-analysis

Descriptive Statistical Analysis of the NBA Defensive Player of the Year race since 2013-14

ggplot2 nba nba-api pandas python r tidyverse xgboost-classifier

Last synced: 09 Nov 2024

https://github.com/ashishtukaral/thyroid-detection-app-using-streamlit

Created Thyroid Detection App using Streamlit

classification data-science github healthtech machine-learning prediction predictive-modeling python streamlit streamlit-webapp streamlitcloud thyroid thyroid-disease-detection xgboost-classifier

Last synced: 11 Nov 2024

https://github.com/mvharsh/productivity-predictor

A Flask application to predict the productivity of garment manufacturing employees using a pre-trained Random Forest Regressor model and XGBoost classification model. This tool helps optimize processes and improve overall efficiency in the garment industry.

docker flask prediction random-forest-regression xgboost-classifier

Last synced: 14 Nov 2024

https://github.com/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.

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

Last synced: 11 Nov 2024

https://github.com/hariprasath-v/dphi-data-sprint-61---meteorite-threat-identification

Machine Learning model that predicts whether or not an asteroid will be dangerous (or not!).

machine-learning optuna shap sklearn xgboost-classifier

Last synced: 13 Nov 2024

https://github.com/yosrak5/heart_disease_prediction

data-analysis machine-learning pandas random-forest random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 31 Oct 2024

https://github.com/hariprasath-v/dphi-data-sprint-67-probability-of-language-extinction

Machine Learning model to classify each language on the basis on their extinction probability

kmeans-clustering machine-learning optuna xgboost-classifier

Last synced: 13 Nov 2024

https://github.com/jayita11/defaulter-credit-card-prediction_ml

This project predicts credit card defaults using machine learning. The XGBoost model, optimized with under-sampling, was the best performer, effectively handling class imbalance and achieving strong recall and accuracy.

classification exploratory-data-analysis logistic-regression machine-learning matplotlib python randomforestclassifier seaborn svc xgboost-classifier