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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.

Autotabular ⭐ 45

Automatic machine learning for tabular data. ⚡🔥⚡

Oasw Concept Drift Detection And Adaptation ⭐ 42

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

Rosetta_recsys2019 ⭐ 42

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

A lightweight gradient boosted decision tree package.

Spykesml ⭐ 40

A class for using ML algorithms for spike prediction

Sparkxgb ⭐ 40

R interface for XGBoost on Spark

Open Solution Value Prediction ⭐ 39

Open solution to the Santander Value Prediction Challenge 🐠

Malware_detect2 ⭐ 38

Malware Classification using Machine learning

Stock Market Prediction Via Google Trends ⭐ 38

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

Tweetbotornot2 ⭐ 37

🔍🐦🤖 Detect Twitter Bots!

Kaggle Berlin ⭐ 36

Material of the Kaggle Berlin meetup group!

Xgboost_explainer ⭐ 34

A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer

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

Minimal Datascience ⭐ 29

This repository contains all the code and dataset used in my blog series: Minimal Data Science

2020 Ccf Crowd Flow Prediction ⭐ 29

科技战疫-大数据公益挑战赛-DataFountain重点区域人群密度预测第1名方案

Ml Simulations ⭐ 28

Animated Visualizations of Popular Machine Learning Algorithms

Data_science ⭐ 27

Decision Trees For Ml ⭐ 27

Building Decision Trees From Scratch In Python

Kaggle Competition Sberbank ⭐ 26

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-

Machine Learning Models ⭐ 26

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Xgboost Node ⭐ 25

Run XGBoost model and make predictions in Node.js

Te2rules ⭐ 25

Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.

Github Stars Predictor ⭐ 25

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

Stackgbm ⭐ 24

🌳 Stacked Gradient Boosting Machines

Go Ml Benchmarks ⭐ 24

⏱ Benchmarks of machine learning inference for Go

Idao 2019 Muon Id ⭐ 23

Problem for IDAO 2019 on LHCb Muon Identification

Mlops Best Practices ⭐ 23

Practical guide to build end-to-end machine learning pipeline and deploy your model in production,

Neptune Examples ⭐ 22

Examples of using Neptune to keep track of your experiments (maintenance only).

The Fashion-MNIST dataset and machine learning models.

A B Testing With Machine Learning ⭐ 22

Implemented an A/B Testing solution with the help of machine learning

Handson Gb ⭐ 20

XGBoost와 사이킷런으로 배우는 그레이디언트 부스팅

Aws Customer Churn Pipeline ⭐ 19

An End to End Customer Churn Prediction solution using AWS services.

Tsforecasting ⭐ 19

TSForecasting - Automated Time Series Forecasting Framework

Diabetes_use_case ⭐ 19

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

Calibrated Boosting Forest ⭐ 19

Original implementation of Calibrated Boosting-Forest

Ai Hackathon ⭐ 18

🏆데이콘 AI해커톤 대회 우수상 솔루션🏆

Ml Class ⭐ 17

Code for the Inquiryum Machine Learning Fundamentals Course

Simple Implementation Of Ml Algorithms ⭐ 17

My simplest implementations of common ML algorithms

Distributional Gradient Boosting Machines

Humanorrobot ⭐ 17

a solution for competition of kaggle `Human or Robot`

Text Classification Benchmark ⭐ 16

文本分类基准测试

Kaggle_getting_started ⭐ 16

Kaggle getting started competition examples

Python Schema Matching ⭐ 16

A python tool using XGboost and sentence-transformers to perform schema matching task on tables.

Parkinsons Ai ⭐ 15

Detect Parkinsons using XGBoost and NN's, see Medium article for in-depth

Football_predictions ⭐ 15

Predicting the results of matches in European leagues

Retrofit ⭐ 15

Automation of feature engineering, machine learning, model evaluation, model interpretation, eda, forecasting, recommender systems and more.

Kaggle Twitter Sentiment Analysis ⭐ 15

Kaggle Twitter Sentiment Analysis Competition

This is the version of auto_ml DoorDash uses in production. For up-to-date documentation and the latest stable release (the one installed using `pip install`) please visit:

Apartment Interest Prediction ⭐ 15

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Challenges ⭐ 14

Mono-repo containing several challenges in a variety of Data Science and Machine Learning topics.

My kaggle competition solution and notebook

Arm_python_packages ⭐ 14

Python packages for M1 users

Python Ranker ⭐ 14

Ranking, Scoring, Decisions, and Optimization with XGBoost

Ngboost Experiments ⭐ 14

Play around with NGBoost and compare with LightGBM and XGBoost

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Nyc_taxi_trip_duration ⭐ 13

Develop ML models predict taxi trip duration in NYC. Ranked : Top 6% | RMSLE : 0.377 (Kaggle) | #DS

Hr Analytics ⭐ 12

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

Amex Default Prediction ⭐ 12

Kaggle Competition

Dmatrix2np ⭐ 12

Convert XGBoost's DMatrix format to np.array

Yet another ML method comparison

Machine Learning ⭐ 12

Functions and helpers for ML

Text Classification Challenge ⭐ 11

Supervised text classification

Swiftxgboost ⭐ 11

Swift wrapper for XGBoost gradient boosting machine learning framework with Numpy and TensorFlow support.

Simple and efficient tools for data science.

Xgboost Multiclass Multilabel ⭐ 10

This is where I keep the codes used in my Medium stories

Document_classification ⭐ 10

Python code for classification of documents into different classes using machine learning

Docker Sklearn Predict Http Api ⭐ 10

A docker image that provides a web api to a sklearn model prediction methods

Meilleur Data Scientist France 2018 ⭐ 10

My solution for the competition "Le meilleur data scientist de France 2018" (Best Data Scientist of France 2018)

Object Depth Detection Based Hybrid Distance Estimator ⭐ 10

We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.

Xgboost.swift ⭐ 10

A Swift interface for XGBoost

Business Exit Risk Forecast ⭐ 10

企业经营退出风险预测，二分类问题

Loan Prediction Using Machine Learning And Python ⭐ 10

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

Swift Ranker ⭐ 10

Easily Score & Rank Codable Objects with ML

A baseline project for the numer.ai ML competition

R package to impute methylation within WGBS using machine learning

Kaggle_bosch_production_line_performance ⭐ 9

Kaggle Bosch Production Line Performance, NO.74/top 6% (post competition analysis) 生產線分析、前 6 % ( 賽後分析 )

Detectron ⭐ 9

Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"

A library to compute ECG signal quality indicators

Home Credit Default Risk ⭐ 9

Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)

Tutorial Machine Learning Based Survival Analysis ⭐ 9

This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.

Machine Learning Kd Diagnosis ⭐ 8

Diagnosing Kawasaki Disease using Machine Learning

Analyticsvidhya India Ml Hiring Hackathon 2019 ⭐ 8

Analytics Vidhya India ML Hiring Hackathon 2019

Sagemaker R Sdk ⭐ 8

A library for training and deploying machine learning models on Amazon SageMaker using R through paws sdk

Ml Algorithms On Scikit And Keras ⭐ 8

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

Dextra Mindef 2015 ⭐ 8

My solution for Dextra Data Science Challenge #44 (Singapore Ministry of Defense) https://challenges.dextra.sg/challenge/44

Bike Sharing ⭐ 8

Predicting bike sharing demand using tree-based ensemble models

H2o Ai 101 ⭐ 8

This repository covers h2o ai based implementations

Ml_learning ⭐ 8

Recording Machine-Learning Notes & Codes everyday. 每日更新机器学习笔记、代码及其它内容。

Hddmodeldecoder.py ⭐ 7

Decodes the info encoded in HDD model names. !!! Migrated to Codeberg 🏔️ !!!

Partner specific prediction of protein binding sites

Twitter_sentiment_bert_scikit ⭐ 7

Twitter US Airline数据集情感分析（sentiment Analysis），使用Bert Sentence encoding作为特征，实现了SVM、XGBoost、RandomForest（随机森林）若干分类

Av_ultimate_student_hunt ⭐ 7

Solution for the Ultimate Student Hunt Challenge (1st place).

Dash Stock Price Prediction ⭐ 7

Visualising stock price predictions for several Machine Learning models using DASH, Python

Python Projects ⭐ 7

Portfolio in Python

Kaggle House Prices Advanced Regression Techniques ⭐ 7

House Prices: Advanced Regression Techniques - Kaggle competition

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