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Search results for python xgboost

230 search results found

Nlp_ability ⭐ 4,337

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提

Mljar Supervised ⭐ 2,867

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

M2cgen ⭐ 2,411

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Deeplearning ⭐ 2,347

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Benchm Ml ⭐ 1,839

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Automl Gs ⭐ 1,642

Provide an input CSV and a target field to predict, generate a model + code to run it.

Autoviz ⭐ 1,550

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Auto_ml ⭐ 1,442

[UNMAINTAINED] Automated machine learning for analytics & production

Mlbox ⭐ 1,403

MLBox is a powerful Automated Machine Learning python library.

Python Tutorial ⭐ 1,261

Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数

Alphapy ⭐ 1,003

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Xorbits ⭐ 946

Scalable Python DS & ML, in an API compatible & lightning fast way.

Awesome Gradient Boosting Papers ⭐ 930

A curated list of gradient boosting research papers with implementations.

Skforecast ⭐ 792

Time series forecasting with scikit-learn models

Mlforecast ⭐ 635

Scalable machine 🤖 learning for time series forecasting.

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Interpretable_machine_learning_with_python ⭐ 629

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Daily Deeplearning ⭐ 532

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Open Solution Home Credit ⭐ 457

Open solution to the Home Credit Default Risk challenge 🏡

Xgboostlss ⭐ 453

An extension of XGBoost to probabilistic modelling

Rong360 ⭐ 438

用户贷款风险预测

Mli Resources ⭐ 405

H2O.ai Machine Learning Interpretability Resources

XGBoost Feature Interactions Reshaped

Hypergbm ⭐ 306

A full pipeline AutoML tool for tabular data

Handson Ml ⭐ 277

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

My Data Competition Experience ⭐ 271

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

This repo is all the machine learning related project codes and their corresponding blog posts at the graduate level.

Textclassificationimplement ⭐ 242

’达观杯‘文本智能处理挑战赛，文本分类任务的实现，包括一些传统的监督学习算法和深度学习算法，主要基于

Data_science_blogs ⭐ 232

A repository to keep track of all the code that I end up writing for my blog posts.

Time Series Machine Learning ⭐ 220

Machine learning models for time series analysis

Xgboost Survival Embeddings ⭐ 214

Improving XGBoost survival analysis with embeddings and debiased estimators

Onnxconverter Common ⭐ 203

Common utilities for ONNX converters

Docker Course Xgboost ⭐ 189

Materials for an online-course - "Practical XGBoost in Python"

Nba Prediction ⭐ 186

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

Speedml ⭐ 185

Speedml is a Python package to speed start machine learning projects.

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

Automl_alex ⭐ 171

State-of-the art Automated Machine Learning python library for Tabular Data

Tianchi Industry4.0 Competition ⭐ 167

1st Place Solution for TianChi-Industry4.0-Competition

Imbalance Xgboost ⭐ 167

XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions

Twitter Hatespeech ⭐ 156

Deep Learning models to detect hate speech in tweets

Stacking ⭐ 153

Stacked Generalization (Ensemble Learning)

Outbrain Click Prediction Kaggle ⭐ 134

Solution to the Outbrain Click Prediction competition

Xgboost_ray ⭐ 121

Distributed XGBoost on Ray

Gradient_boosting_tensorflow_xgboost ⭐ 119

Benchmarking Gradient Boosting in TensorFlow and XGBoost

Applied Machine Learning ⭐ 117

A step-by-step guide to get started with Applied Machine Learning

Machinelearningnote ⭐ 114

Cainiao Demandforecast Storageplaning ⭐ 114

1st Place Season one & 6th Place Season two

Sagemaker Xgboost Container ⭐ 109

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Sci Pype ⭐ 96

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Kaggle Code ⭐ 95

A repository for some of the code I used in kaggle data science & machine learning tasks.

30 Days Of Ml Kaggle ⭐ 93

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

Sigmoidal_ai ⭐ 89

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Xgboostextension ⭐ 87

xgboost Extension for Easy Ranking & TreeFeature

Black Swan ⭐ 77

Kaggle_higgs ⭐ 77

My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)

Tencent2017_final_rank28_code ⭐ 75

2017第一届腾讯社交广告高校算法大赛Rank28_code

Docker Python Deep Learning ⭐ 74

A container for Deep Learning with Python 3

Sigopt Sklearn ⭐ 74

SigOpt wrappers for scikit-learn methods

Autogbt Alt ⭐ 73

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Dc Hi_guides ⭐ 70

[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11

Pyastrotrader ⭐ 69

Machine Learning + Financial Markets + Astrology = A Match made in Heaven

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

MLOps Python Library

Alpha Zero Boosted ⭐ 60

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

Predicting_real_estate_prices_using_scikit Learn ⭐ 59

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Converts XGBoost raw model dumps to C++ code.

🖖 A package to determine whether planetary orbital configurations will live long and prosper

Search Mjolnir ⭐ 57

Github mirror - our actual code is hosted with Gerrit (please see https://www.mediawiki.org/wiki/Developer_access for contributing)

Spark Examples ⭐ 54

RAPIDS Spark examples

Machine_learning_code ⭐ 52

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/catBoost/F

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

Ds Ml Public ⭐ 49

Python Scripts and Jupyter Notebooks

Cryptopredictions ⭐ 49

CryptoCurrency prediction using machine learning and deep learning

Linxgboost ⭐ 48

Extension of the awesome XGBoost to linear models at the leaves

Cpsc_scheme ⭐ 46

Autotabular ⭐ 45

Automatic machine learning for tabular data. ⚡🔥⚡

Spark Xgboost Examples ⭐ 43

XGBoost GPU accelerated on Spark example applications

Rosetta_recsys2019 ⭐ 42

The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI

A lightweight gradient boosted decision tree package.

Kaggle Otto ⭐ 42

12th solution for the Otto Group Product Classification Challenge on Kaggle

Msds696 Masters Final Project ⭐ 41

Earthquake Prediction Challenge with LightGBM and XGBoost

Datascienv ⭐ 41

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Sentiment Analysis On Twitter Data ⭐ 41

Sentiment analysis over twitter data (deep learning) in Python

Atec Nlp ⭐ 40

蚂蚁金服比赛 15th/2632

Open Solution Value Prediction ⭐ 39

Open solution to the Santander Value Prediction Challenge 🐠

Malware_detect2 ⭐ 38

Malware Classification using Machine learning

Kaggle For Fun ⭐ 38

All my submissions for Kaggle contests that I have been, and going to be participating.

Stock Market Prediction Via Google Trends ⭐ 38

Attempt to predict future stock prices based on Google Trends data.

Quickdraw_prediction_model ⭐ 34

this is my repository for the quick draw prediction model project

Data Science Bowl 2017 : Lung Cancer Detection

Xgboostandlr ⭐ 33

use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR

Movie Analysis ⭐ 32

使用机器学习算法的电影推荐系统以及票房预测系统

Loan Defaulter Prediction Machine Learning ⭐ 31

Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

Machine Learning Alpine ⭐ 31

Alpine Container for Machine Learning

Machine Learning For Tabular Data ⭐ 30

Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost

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