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Search results for catboost
catboost
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50 search results found
Catboost
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7,564
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Mljar Supervised
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2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Awesome Decision Tree Papers
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2,266
A collection of research papers on decision, classification and regression trees with implementations.
Awesome Gradient Boosting Papers
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930
A curated list of gradient boosting research papers with implementations.
Tutorials
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915
CatBoost tutorials repository
Hyperparameter_hunter
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635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Ai_competitions
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539
AI比赛相关信息汇总
Hypergbm
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306
A full pipeline AutoML tool for tabular data
My Data Competition Experience
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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
Intrusion Detection System Using Machine Learning
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248
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Autoquant
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227
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
Amazon Sagemaker Local Mode
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220
Amazon SageMaker Local Mode Examples
Aws Machine Learning University Dte
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177
Machine Learning University: Decision Trees and Ensemble Methods
Benchmarks
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157
Comparison tools
Catboostlss
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139
An extension of CatBoost to probabilistic modelling
Ijcai18 Mama Ads Competition
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68
IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
Auto Flow
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66
AutoFlow : Automatic machine learning workflow modeling platform
Jlboost.jl
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61
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Ds Ml Public
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49
Python Scripts and Jupyter Notebooks
Hgboost
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49
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
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45
Automatic machine learning for tabular data. ⚡🔥⚡
Aiml Projects
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44
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Influence_boosting
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43
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
Datascienv
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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
Yandexcatboost Python Demo
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26
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
Recsys2019
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26
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Github Stars Predictor
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25
It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.
Stackgbm
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24
🌳 Stacked Gradient Boosting Machines
Ai Hackathon
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18
🏆데이콘 AI해커톤 대회 우수상 솔루션🏆
Retrofit
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15
Automation of feature engineering, machine learning, model evaluation, model interpretation, eda, forecasting, recommender systems and more.
Wsdm2022tgp Antgraph
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13
the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)
Hr Analytics
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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
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12
Kaggle Competition
Power Usage Predict
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10
🥉2023 Power Consumption Prediction AI Competition🥉
Ltfs Data Science Finhack Anlytics Vidhya
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9
34th (Top 3%) Rank Solution for LTFS Data Science FinHack ( ML Hackathon).
Credit Risk Management
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9
A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journey was used to extract useful features using different strategies such as manual and automated feature engineering, and deep learning (CNN, RNN). Various machine learning algorithms such as Boosted algorithms (XGBoost, LightGBM, CatBoost) and Deep Neural Network are used to develop a binary classifier and their performances were compared.
Earthquake Prediction
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8
Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) + CatboostRegressor, private score 2.425 (31 place)
Raifhack Ds
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8
2 days DS hackathon at Raiffeisen
Jobcare Recommendation
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8
🥉잡케어 추천 알고리즘 경진대회🥉
Amazon Sagemaker Experiments Dvc Demo
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8
SageMaker Experiments and DVC
Genpact Ml Hackathon
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8
Genpact ML hackathon 2018 hosted on Analytics Vidhya. Food demand forecasting - 79th rank solution
Graduate_admissions_prediction
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7
A Streamlit web app that predicts the chance of admission into masters program based on various factors .
Predict Delinquency
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7
🏆신용카드 사용자 연체 예측 AI 경진대회 2등 솔루션🏆
Intrusion Detection System
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5
Attack Detection, Parameter Optimization and Performance Analysis in Enterprise Networks (ML Networks) for Intrusion Detection System IDS.
Wordrepresentations
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5
Сравнение нескольких способов представления слов для построения языковых моделей
Xgboost Vs Catboost Vs Litegbm
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5
The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.
Streamlit Shap Explorer
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5
A Streamlit Web Application that predicts the genre of a song, interactively explores the corresponding SHAP values and locally explains a CatBoost Multi Classification model
Cambridgetemperaturenotebooks
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5
Cambridge UK temperature forecast python notebooks
Otokuna
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5
A system and web app to discover good deals of rental properties, built and automated on a serverless architecture.
Studentcup2020
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5
1-50 of 50 search results
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