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xgboost

Here are 3,136 public repositories matching this topic...

anVSS1 / PFE

This project dives deep into customer sales data to uncover valuable insights for business decision-making. It leverages machine learning and time-series forecasting to predict customer churn, forecast product demand, and segment customers based on their purchasing behavior.

python data-science machine-learning clustering xgboost kmeans prophet kmeans-clustering forecasting-models clv shap prophet-facebook clv-analysis

Updated Jun 9, 2024
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Silvano315 / Health-Insurance-Prediction

This repository aims to test some machine learning and ELI5 explainability technique in order to predict whether the customer would be interested in Vehicle insurance, you have information about demographics, vehicles, policy

data-science machine-learning insurance random-forest eda health xgboost vehicle eli5 adasyn explainability

Updated Jun 9, 2024
Jupyter Notebook

szilard / GBM-perf

Performance of various open source GBM implementations

benchmark machine-learning xgboost gbm lightgbm gradient-boosting-machine h2oai

Updated Jun 9, 2024
HTML

kserve / kserve

Standardized Serverless ML Inference Platform on Kubernetes

Updated Jun 9, 2024
Python

CS311-AI-Peoject3-XGBoost

Laihb1106205841 / CS311-AI-Peoject3-XGBoost

Predicting Adult Census Income Using XGBoost Tree Boosting System

jupyter-notebook xgboost sustech adult-dataset

Updated Jun 9, 2024
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exmnx / Class_Projects

Data Analysis Projects

lasso xgboost decision-trees elasticnet

Updated Jun 9, 2024
HTML

dmlc / xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

distributed-systems machine-learning xgboost gbdt gbm gbrt

Updated Jun 10, 2024
C++

francomano / CoffeeCraft

An android application that allow the user to log in (and access to all his data), and connect to external distributors, in order to get the coffee generated by a Machine Learning algorithm

python java machine-learning database deep-learning random-forest machine-learning-algorithms data-engineering coffee xgboost recommendation-system recommender-system coffee-machine human-computer-interaction

Updated Jun 8, 2024
Java

markushaug / imbalanced-fraud-detection

machine-learning deep-learning generative-adversarial-network xgboost performance-evaluation fraud-detection anomaly-detection variational-autoencoder data-imputation imbalanced-classification iterative-imputer self-paced-ensemble

Updated Jun 8, 2024
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harmanveer-2546 / Wafer-Fault-Detection

The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.

python machine-learning random-forest clustering numpy sklearn data-transformation pandas seaborn feature-selection xgboost matplotlib svc roc-auc-curve roc-auc-score

Updated Jun 8, 2024
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BeheshteSadeghi / HousePricePrediction-including-Pycaret-LightGBM-Pipeline-and-Web-Application

This project aims to provide web application for house price prediction. EDA, model comparison through Pycaret, hyper-parameter tuning and making pipeline model are included. The result is shown as a web application.

pipeline random-forest eda webapp xgboost lightgbm decision-tree house-price-prediction streamlit pycaret

Updated Jun 8, 2024
Jupyter Notebook

skforecast

JoaquinAmatRodrigo / skforecast

Time series forecasting with machine learning models

python data-science machine-learning time-series scikit-learn xgboost forecasting lightgbm arima sarimax probabilistic-forecasting direct-forecasting exogenous-predictors multi-series-forecasting multi-step-forecasting backtesting-forecasters quantile-forecasting multiple-time-series-forecasting weighted-time-series-forecasting autoregressive-forecasting

Updated Jun 9, 2024
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PrateekDutta2001 / Behavioral-Experience-ML---Finance

User experience for subscription model of Financial Application

python machine-learning svm xgboost decision-trees regression-models knn

Updated Jun 7, 2024

SeldonIO / MLServer

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

machine-learning scikit-learn xgboost lightgbm seldon-core mlflow kfserving

Updated Jun 10, 2024
Python

kubeflow / training-operator

Distributed ML Training and Fine-Tuning on Kubernetes

python kubernetes machine-learning ai tensorflow gpu pytorch distributed xgboost fine-tuning kubeflow jax mlops huggingface llm

Updated Jun 7, 2024
Go

alibaba / Alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

machine-learning data-mining statistics kafka graph-algorithms clustering word2vec regression xgboost classification recommender recommender-system apriori feature-engineering flink fm flink-ml graph-embedding flink-machine-learning

Updated Jun 7, 2024
Java

neptune-ai / examples

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Updated Jun 7, 2024
Jupyter Notebook

open-ce / open-ce

This repository provides the Open-CE environment files and version definitions for each Open-CE release.

deep-learning tensorflow cuda conda pytorch xgboost deeplearning conda-environment horovod feedstocks

Updated Jun 7, 2024

jolibrain / deepdetect

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

machine-learning caffe deep-learning time-series gpu rest-api pytorch xgboost image-classification image-search object-detection image-segmentation tsne neural-nets tensorrt ncnn tensorrt-conversion tensorrt-inference

Updated Jun 7, 2024
C++

gatorduck / AzureML_SDK_Pipeline

Xgboost model used to predict blood pressure created using a pipeline in Azure Machine Learning using Python SDKv2

python learning pipeline azure machine xgboost sdk-python

Updated Jun 7, 2024
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