GitHub topics: catboost | Ecosyste.ms: Repos

mirecl/catboost-cgo

CatBoost a fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model 🚀

Language: C - Size: 809 KB - Last synced at: about 7 hours ago - Pushed at: about 9 hours ago - Stars: 13 - Forks: 1

KwonNayeon/team-projects-archive

Collection of team projects from grad school

Language: Python - Size: 1020 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

DeepraMazumder/Cyberbullying-Detection-and-Analysis-in-Social-Media

ML and DL project to identify and analyze different forms of cyberbullying across social media platforms for automated abuse detection

Language: Jupyter Notebook - Size: 57.9 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

muhakbarhamid21/student-dropout-prediction

Prediksi risiko dropout mahasiswa & dashboard interaktif performa akademik.

Language: Jupyter Notebook - Size: 46.2 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

benedekrozemberczki/awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

Language: Python - Size: 870 KB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 2,400 - Forks: 342

DroneDashServices/mcts-variant-prediction

Forecasting MCTS Variant Outcomes Across Board Games

Language: Jupyter Notebook - Size: 131 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

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.

Language: C++ - Size: 1.67 GB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 8,397 - Forks: 1,219

busradeveci/ml-notebooks

📊 Building ML projects using Python, Scikit-learn & more.

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federicoparroni/recsys2019

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 30 - Forks: 17

DataCanvasIO/HyperGBM

A full pipeline AutoML tool for tabular data

Language: Python - Size: 11 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 349 - Forks: 47

mljar/mljar-supervised

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

Language: Python - Size: 9.44 MB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 3,154 - Forks: 422

xiaodaigh/JLBoost.jl

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Language: Julia - Size: 277 KB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 74 - Forks: 6

krishnaura45/mcts-variant-prediction

Forecasting MCTS Variant Outcomes Across Board Games

Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

albertruaz/Recommendation-System

Language: Python - Size: 11.5 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

catboost/tutorials

CatBoost tutorials repository

Language: Jupyter Notebook - Size: 46 MB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 1,067 - Forks: 415

aws-samples/amazon-sagemaker-local-mode

Amazon SageMaker Local Mode Examples

Language: Python - Size: 5.94 MB - Last synced at: about 8 hours ago - Pushed at: 24 days ago - Stars: 257 - Forks: 63

gtzjh/mymodels

Assemble an efficient interpretable machine learning workflow.

Language: Python - Size: 2.62 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 22 - Forks: 3

lokesh9899/Mortality-Risk-Readmission-Prediction-NLP-Clinical-Bert-LLM

AI-powered prediction of in-hospital mortality and 30-day readmission using MIMIC-III clinical data. Combines structured features and ClinicalBERT embeddings with XGBoost/CatBoost Best Performance models for accurate, explainable healthcare forecasting.

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

yesetoda/Insighted_Grade_12_score_prediction

A predictive analytics tool that forecasts Grade 12 national exam scores based on historical performance, attendance records, and socio‑demographic features. Provides data for interactive visualizations and automated performance alerts to help educators identify at‑risk students.

Language: Python - Size: 91.8 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

Yahlawat/Credit-Card-Default-Prediction

Predicting default payments using gradient boosting and ensemble machine learning models. Includes EDA, model comparison (Random Forest, XGBoost, LightGBM, etc.), ROC analysis, and feature importance on Taiwanese credit card client data.

Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

HunterMcGushion/hyperparameter_hunter

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

Language: Python - Size: 7.27 MB - Last synced at: about 7 hours ago - Pushed at: over 4 years ago - Stars: 707 - Forks: 101

rasnes/stock-advisor

Stock Advisor

Language: Go - Size: 1.63 MB - Last synced at: 7 days ago - Pushed at: 2 months ago - Stars: 9 - Forks: 0

Shengwei-Peng/PV-Power-Generation-Forecasting

A project focused on forecasting solar photovoltaic (PV) power generation using regional microclimate data. Implements machine learning models like CatBoost, LightGBM, and XGBoost for predictions, leveraging environmental features like temperature, humidity, wind speed, and solar radiation.

Language: Jupyter Notebook - Size: 28.6 MB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 7 - Forks: 1

kkinzzza/MeanSalaryPrediction

This project focuses on predicting the mean salary for job vacancies from HeadHunter.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 8 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

busradeveci/heart-failure-prediction-catboost

Predicting heart failure using CatBoost Classifier on clinical patient data. Includes EDA, model training, and performance evaluation.

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uditjain100/Parkinson-Disease-Detector

This project predicts early-stage Parkinson’s disease using vocal biomarkers and machine learning. It applies CatBoost and XGBoost models on a preprocessed and balanced dataset, achieving up to 96.6% accuracy. The approach supports non-invasive, voice-based diagnosis for improved patient outcomes.

Language: Jupyter Notebook - Size: 7.93 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

HuangCongQing/AI_competitions

AI比赛相关信息汇总

Size: 75.2 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 637 - Forks: 124

mdaltamashalam/Uber-Fare-Prediction-Models

Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 10 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

exsandebest/next-basket-recommendation Fork of sokolcom/mts-teta-nbr

Next basket recommendation - Notebooks with different approaches

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Hisqkq/Open-Data-Singapore

Analysis of Singapore’s Open Data platform using advanced data modeling techniques including CatBoost and correlation analysis.

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1hunder/cars-prediction-model-and-genai

Predicting car price using Machine Learning and Deep Neural Networks

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AdrianAntico/AutoQuant

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

Language: R - Size: 804 MB - Last synced at: about 10 hours ago - Pushed at: 24 days ago - Stars: 243 - Forks: 43

stephyangeles/P5_ProblemaDeRegresion_G4

🚗 Análisis de Precios de Autos Usados: Este proyecto utiliza Machine Learning para predecir el valor de autos usados basado en: Marca, modelo, año, kilometraje, tipo de combustible y más. Datos limpios y procesados. Visualización interactiva

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juancmacias/P5_ProblemaDeRegresion_G4 Fork of stephyangeles/P5_ProblemaDeRegresion_G4

🚗 Análisis de Precios de Autos Usados: Este proyecto utiliza Machine Learning para predecir el valor de autos usados basado en: Marca, modelo, año, kilometraje, tipo de combustible y más. Datos limpios y procesados. Visualización interactiva

Language: Jupyter Notebook - Size: 61.2 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

1106maxi/AI-supported-Forecasting-Models-for-Waste-Management

This repository contains the code for my seminar about AI-supported Forecasting Models for Waste Management and Resource Planning.

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krishnaura45/tbp-skin-detect

⚔️ISIC Competition 🧪Feature Extraction and Ensemble

Language: Jupyter Notebook - Size: 450 KB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

benedekrozemberczki/awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

Language: Python - Size: 1.48 MB - Last synced at: about 4 hours ago - Pushed at: about 1 year ago - Stars: 1,022 - Forks: 160

Furk4nBulut/Regression-with-a-Crab-Age-Dataset

Regression with a Crab Age Dataset Kaggle · Playground Prediction Competition Solution Repository

Language: Python - Size: 146 KB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

yzkang/My-Data-Competition-Experience

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

Language: Python - Size: 27.6 MB - Last synced at: 26 days ago - Pushed at: about 4 years ago - Stars: 393 - Forks: 68

StatMixedML/CatBoostLSS

An extension of CatBoost to probabilistic modelling

Size: 6.82 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 142 - Forks: 13

association-rosia/crop-yield-estimate

Harness the power of machine learning to forecast rice and wheat crop yields per acre in India, aiming to empower smallholder farmers, combat poverty and malnutrition, utilizing data from Digital Green surveys to revolutionize agriculture and promote sustainable practices in the face of climate change for enhanced global food security.

Language: Python - Size: 22 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 1

Arindam-GitH/FraudGuard-ML

A comprehensive machine learning project for detecting fraudulent payment transactions. Features 50,000 synthetic transactions, 4 ML models (Random Forest, XGBoost, LightGBM, CatBoost), 8 data visualizations, and SMOTE for handling class imbalance. Perfect for financial institutions and data scientists working on fraud detection systems.

Language: Python - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

paulo-santos-ds/rotatividade_de_clientes

A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.

Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

vonexel/Data-Science-Projects

Portfolio of data science projects completed by me for academic, self-learning, commercial and hobby purposes.

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

viniciusmecosta/CvClassifier

A REST API that classifies resumes into occupation fields and seniority levels using machine learning. Trained on 3,000+ resumes across 26 occupations, the API provides accurate classifications with efficient PDF text extraction.

Language: Jupyter Notebook - Size: 112 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

DIMFLIX/NewsGuard

categorizing news: fake or not

Language: Jupyter Notebook - Size: 116 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 37 - Forks: 1

N1k1f0rM/salary_predict

Salary Prediction Project

Language: Jupyter Notebook - Size: 359 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

alessioborgi/MLPipeline_OptimizationStudy

Exploration and optimization of a ML pipeline, delving into various techniques for enhancing different stages of ML workflows, including data preprocessing, feature engineering, model selection, and hyperparameter tuning.

Size: 6.84 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ai-naymul/ChurnCrafter-ML-Suite

this project leverages machine learning to predict customer churn, and we've built an interactive interface using Streamlit and containerized everything with Docker for easy deployment.

Language: Jupyter Notebook - Size: 749 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Tyriek-cloud/Cox-Hazard-Model-Simulation

This is an exploration of synthetically generated data using a classic cox regression model and two gradient boosted models.

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adamingas/ordinalgbt

A package to build Gradient boosted trees for ordinal labels

Language: Jupyter Notebook - Size: 625 KB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 16 - Forks: 1

Ahmed-Maher77/Wind-Turbine-Power-Prediction-App-using-Machine-Learning

"Wind Power Predictor" is a machine learning project that forecasts turbine output using real-time data from Turkish wind farms. Its web app interface offers convenient access to predictions, enabling informed decisions for maximizing energy production and advancing renewable energy usage.

Language: HTML - Size: 27.9 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 8 - Forks: 2

martishin/machine-learning-notebooks

Notebooks with solutions to different ML problems

Language: Jupyter Notebook - Size: 2.68 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 4

erdogant/hgboost

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.

Language: Python - Size: 24.4 MB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 64 - Forks: 18

IngridASilva/ias-sty_final-project

Development of a project for the thesis “AI in the reduction of cognitive biases (Anchoring Bias) in Brazilian consumption", with the support of Python and Machine Learning.

Language: Jupyter Notebook - Size: 95.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

auto-flow/auto-flow

AutoFlow : Automatic machine learning workflow modeling platform

Language: Python - Size: 12.3 MB - Last synced at: 28 days ago - Pushed at: over 3 years ago - Stars: 67 - Forks: 6

marketcalls/openadvisor

Self Hostable - Personal Machine Learning Based Stock Recommendation Platform

Language: Jupyter Notebook - Size: 3.41 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 17 - Forks: 14

akuprym/customer-churn-prediction

My Kaggle competition submission scored 0.87 AUC. Linear model and catboost comparison.

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FindTo/StartML_Project_ML

Recommendation system for users in social network, which provides 5 relevant posts per user. Uses PostgreSQL tables to retrieve user, posts and history of iteractions. Part of Karpov Courses StartML, link below

Language: Python - Size: 1.36 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

DataSagess/FIC

NLP Hackaton \w NN + FastAPI + Docker

Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1

DataSagess/AlfaHack

Credit scoring ML Hack

Language: Jupyter Notebook - Size: 150 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

AASmirnov-Webdev/Data_Science_projects

Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".

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datalopes1/telecom_churn

Aplicação web construida utilizando o Streamlit — para análise e predição de casos de churn em uma empresa do setor telefônico

Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

owenodriscoll/AutoML

Python package for automated hyperparameter-optimization of common machine-learning algorithms

Language: Python - Size: 3.26 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 1

catboost/benchmarks

Comparison tools

Language: Jupyter Notebook - Size: 43.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 170 - Forks: 47

aws-samples/aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: 14 days ago - Pushed at: 8 months ago - Stars: 251 - Forks: 89

oxayavongsa/projects

"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.

Size: 156 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

SverreNystad/power-predictor

Using Machine Learning for time series forecasting of photovoltaic measurement for solar systems based on weather features

Language: Jupyter Notebook - Size: 385 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 2

jxareas/laptop-price-catboost

State-of-the-Art ML for laptop price prediction.

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

tam-ng/Survival_Analysis_ICU_24hrs

Using data within first 24 hours of intensive care to develop a machine learning model that could improve the current patient survival probability prediction system (apache_4a) and is more generalized to patients outside of the US

Language: Jupyter Notebook - Size: 34.6 MB - Last synced at: 7 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

atfortes/Repeat-Buyers-Prediction

Alibaba Cloud | Tianchi Competition: TMALL Repeat Buyers Prediction Top 0.7% Solution

Language: Jupyter Notebook - Size: 6.28 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

jianzhnie/AutoTabular

Automatic machine learning for tabular data. ⚡🔥⚡

Language: Python - Size: 5.91 MB - Last synced at: 9 days ago - Pushed at: over 3 years ago - Stars: 70 - Forks: 10

JaspreetSingh-exe/Vehicle-Price-Prediction

Vehicle Price Prediction is a machine learning project that estimates vehicle prices using features like make, model, year, mileage, and more. It employs multiple regression models, including Linear Regression, Random Forest, Gradient Boosting, CatBoost, and Stacking Regressor, with GridSearchCV for tuning.

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nmaffe/iceboost

A gradient-boosted tree framework to model the ice thickness of the World's glaciers

Language: Python - Size: 2.15 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 1

debjitpal5040/ML_Algorithms

A repository for almost every machine learning algorithms

Language: Jupyter Notebook - Size: 63.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

zhou877/isic-2024

Language: Jupyter Notebook - Size: 161 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

SaniyaAbushakimova/Ames-Housing-Price-Prediction

Implemented regularized linear regression (Lasso, Ridge, ElasticNet) and tree-based models (Random Forest, XGBoost, CatBoost, LightGBM) to predict house prices in Ames, Iowa. The project explores feature engineering, outlier handling, and model tuning to improve predictive accuracy. Tech: Python (numpy, pandas, sklearn, catboost, os)

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nickkunz/nestedhyperboost

Nested Cross-Validation for Bayesian Optimized Gradient Boosting

Language: Python - Size: 2.89 MB - Last synced at: 5 days ago - Pushed at: about 5 years ago - Stars: 20 - Forks: 3

filipsPL/degronopedia-ml-psi

Predict Protein Stability Index from the sequence

Language: Python - Size: 7.21 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

davydantoniuk/credit-risk-classifier

Credit Risk Bank Classifier using CatBoost and Streamlit

Language: HTML - Size: 2.08 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

tanishq-ctrl/House-price-prediction-and-visualization

This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

Language: Jupyter Notebook - Size: 20 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 8 - Forks: 0

StarodubovAV/Machine_Learning

This is repo for classical ML projects

Language: Jupyter Notebook - Size: 25.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

HarikrishnanK9/Health_Profile_Analysis

Health Profile Analysis:Revealing Disorder Paterns,Medication Guidance and Risk Classification-ML Project

Language: Jupyter Notebook - Size: 3.42 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

dvarshith/transaction-fraud-detection

Machine Learning pipeline for financial transaction fraud detection. Incorporates SMOTE, ensemble models, neural networks.

Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

itzdineshx/Mental-Health-EDA-Ensembling-models

This project focuses on predicting mental health status (Depression) using a dataset generated from a deep learning model trained on the Depression Survey.

Language: Jupyter Notebook - Size: 6.92 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

amine-akrout/bank_deposit_prediction

Training and deploying CatBoost Model with MLFlow, Flask, AWS ECS and github actions

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34j/boost-loss

Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.

Language: Python - Size: 489 KB - Last synced at: about 5 hours ago - Pushed at: about 6 hours ago - Stars: 9 - Forks: 0

bhattbhavesh91/catboost-tutorial

A small tutorial to demonstrate the power of CatBoost Algorithm

Language: Jupyter Notebook - Size: 293 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 14

sang-he0n/catsnip

Treesnip-based Catboost Wrapper

Language: R - Size: 73.2 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

patricialuca/DataScience_FireGroundAI

TFM de inteligencia artificial para predecir la severidad en incendios forestales utilizando datos históricos y modelos predictivos avanzados.

Language: Jupyter Notebook - Size: 144 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

usaeva-a/PET-projects

Language: Jupyter Notebook - Size: 45.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

34j/sklearn-utilities

Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x prediction to x, compose var estimator, data frame wrapper, drop by noise prediction, drop missing rows y, dummy regressor var, estimator wrapper base, excluded column transformer pandas, feature union pandas, id transformer, included column transformer pand

Language: Python - Size: 400 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 3 - Forks: 1

TsLu1s/tsforecasting

TSForecasting: Automated Time Series Forecasting Framework

Language: Python - Size: 256 KB - Last synced at: 10 days ago - Pushed at: 6 months ago - Stars: 28 - Forks: 1

MhmudFzli/Loan-Approval-Prediction

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

Language: Jupyter Notebook - Size: 666 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

MhmudFzli/Exploring-Mental-Health-Data

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

Language: Jupyter Notebook - Size: 115 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0