gradient-boosting-classifier 开源项目推荐（313 个）

benedekrozemberczki /awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

zygmuntz /hyperband

Tuning hyperparams fast with Hyperband

sharmapratik88 /AIML-Projects

我作为 Great Learning 的 PGP - 人工智能与机器学习项目一部分完成的项目

kapilsinghnegi /Fake-News-Detection

This project detects whether a news is fake or not using machine learning.

asafschers /scoruby

Ruby Scoring API for PMML

wangy8989 /Bankruptcy-Prediction-using-Machine-Learning

Using various machine learning models to predict whether a company will go bankrupt

Snigdho8869 /Multiclass-Text-Classification

Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.

KwokHing /YandexCatBoost-Python-Demo

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

zin288 /DanceVision-AI-Driven-Dance-Proficiency-Assessment

Pose estimation and prediction using Mediapipe and various ML models

indrapaul824 /Coronary-Heart-Disease-Prediction

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

krpiyush5 /Facebook-Friend-Recommendation-using-Graph-Mining

In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)

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.

adamingas /ordinalgbt

A package to build Gradient boosted trees for ordinal labels

dayfundora /Personality-Type

Recognition of Persomnality Types from Facebook status using Machine Learning

Jaap-Meerhof /Federated_XGBoost_Python

FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference

ArnabKumarRoy02 /Phishing-attack-detection

This project is our submission for the Kavach Hackathon 2023, in which we have created a browser extension that detects the links present in the email and classifies whether they are safe or not.

abdullahsaka /Capital_One-Data_Challenge

Data Science Challenge

shraddhasomani /Statistical-Modeling-for-NASDAQ100-Stock

Analyze NASDAQ100 stock data. Used ARIMA + GARCH model and machine learning techniques Naive Bayes and Decision tree to determine if we go long or short for a given stock on a particular day

rohitkulkarni08 /Customer-Churn-Analysis

This is a customer churn prediction project using machine learning algorithms like Logistic Regression, Random Forest, K-Nearest Neighbors, Support Vector Machine, XGBoost, and Gradient Boosting. The project aims to analyze and predict customer churn in a dataset, using techniques like class weighting and SMOTE to handle class imbalance

DmitryAsdre /rocauc_pairwise

RocAuc Pairiwse objective for gradient boosting