GitHub topics: catboost-classifier

jarif87/tune-popularity-app

Flask web app to predict song popularity using CatBoost. Enter five song features for instant predictions. Modern, responsive UI, no CSRF for development.

Language: Python - Size: 0 Bytes - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

patrueduard03/data-mining-mushroom-classification

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

A FastAPI app for Parkinson’s disease prediction using a pre-trained model. Offers a sleek, animated UI for inputting five voice metrics (spread1, PPE, spread2, MDVP:Fo(Hz), MDVP:Flo(Hz)). Git-ready with venv excluded and GitHub screenshots.

Language: CSS - Size: 741 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

theMagusDev/client-churn-prediction

Customer Churn Prediction

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

gharib-uk/Predictive-Maintenance-on-NASA-Turbofan-JetEngine

Language: Jupyter Notebook - Size: 39.1 MB - Last synced at: 22 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

Harsha2k3/predictive_maintenance_ML_Project

This project utilizes advanced data analysis and machine learning techniques to predict equipment failures before they occur. The goal is to detect anomalies and possible defects in equipment and processes to enable preemptive maintenance, thereby reducing downtime and costs.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

havva-nur-ezginci/ML-Applications

💡This project involves the implementation of machine learning (ML) algorithms 💻🔍on various datasets.

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

edaaydinea/OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 1

edaaydinea/OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).

Language: Jupyter Notebook - Size: 47.5 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4

DIMFLIX/NewsGuard

categorizing news: fake or not

Language: Jupyter Notebook - Size: 116 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 37 - Forks: 1

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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

DivyanshVyas123/Mental-Health-Prediction

This GitHub repository focuses on predicting mental health conditions. It provides tools and resources for analyzing trends and patterns related to mental health issues.

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

nguyenthiennhan444/Cosmic-Classifier

This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.

Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ohincu/insurance-cross-selling

Identify health insurance customers with interest in a vehicle insurance.

Language: Jupyter Notebook - Size: 6.54 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

ayushsaksena30/Cosmic-Classifier

This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.

Language: Jupyter Notebook - Size: 3.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

alejimgon/Titanic-Kaggle-Competition-Model

This repository contains my current model for the Titanic Kaggle competition.

Language: Python - Size: 10.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SevilayMuni/e-commerce-fraud-detection

Detecting fraudulent transactions in e-commerce data provided by Vesta Corporation.

Language: Jupyter Notebook - Size: 627 KB - Last synced at: 4 months ago - Pushed at: 4 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: 3 months ago - Pushed at: 6 months ago - Stars: 8 - Forks: 0

alel2003/Spaceship-Titanic

Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

franmateus/Risco-de-Credito-Modelos-Ensemble

Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble

Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

oktaviorezap/Customer-Churn-Prediction-using-Machine-Learning

Reduce the Number of Churn Customers and Identifying Business Impacts Based on Prediction Result by The Model

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Mugambi645/mental-health-prediction

Mental health prediction

Language: Jupyter Notebook - Size: 384 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Jecoc907/Music-Industry-Analysis-using-Spotify-Data

This project investigates the dynamics of the global music market, analyzing trends and factors influencing popular songs.

Language: Jupyter Notebook - Size: 5.54 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

BeheshteSadeghi/ChurnModelling

This project aims to train the best model for predicting customer churn. In this project; first, data is studied and several diagrams are depicted for storytelling. Since we face with unbalanced data, categorical data, outliers, unscaled data and ecxess of features, related packages from python is utilized to prepare data for modelling.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

LohiyaH/AI-Based-Fraud-Detection

A comparative analysis of machine learning and deep learning algorithms for fraud detection, featuring XGBClassifier, CatBoostClassifier, and LGBMClassifier, as well as ANN, CNN, RNN, LSTM, and Autoencoders for performance benchmarking

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Farooqbasha008/Customer-Conversion-Prediction-for-a-new-age-Insurance-Company

A ML model to predict whether the clients will subscribe to insurance or not.

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1

mbappeenjoyer/CreditCardDefault_Prediction

Credit card defaulter prediction using data science techniques

Language: Jupyter Notebook - Size: 944 KB - Last synced at: 27 days ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

benitomartin/bank-churn-classification

Bank Churn Classification

Language: Jupyter Notebook - Size: 5.12 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

AnnaAnastasy/Mental-Health-EDA-ML

A data-driven project analyzing factors influencing mental health and building a predictive model for depression using advanced machine learning techniques.

Language: Jupyter Notebook - Size: 700 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Arif-miad/Global-Plastic-Waste-Analysis

Global plastic waste is a pressing environmental issue, with massive production, limited recycling, and high risks to ecosystems and human health

Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: 29 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

AnnaAnastasy/Classification-Project-Student-Grades

A machine learning project to predict students' academic performance using features like demographics, study habits, and parental involvement, achieving 74% accuracy with the CatBoost model.

Language: Jupyter Notebook - Size: 604 KB - Last synced at: 30 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

chaaalistaa/Catboost-Machine-Learning-for-Lifestyle-Prediction

Using machine learning techniques, namely supervised learning to predict the lifestyle of students by learning the features used and classifying based on the class, namely SES

Language: Jupyter Notebook - Size: 734 KB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

AnnaAnastasy/Dibetes-Prediction-Logistic-KNN-Cat

Predicting diabetes using machine learning techniques. Starting with Logistic Regression as a baseline, it progresses to advanced models like Gradient Boosting.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

dharmendradiwaker/Forecasting-House-Prices-Using-Machine-Learning

This project focuses on predicting house prices using machine learning techniques. The dataset consists of over 1,000,000+ rows and 12 columns containing information about various house attributes. The goal is to build predictive models to estimate house prices based on these attributes.

Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

Gourav052003/Predicting-Customer-Engagement-in-Financial-Products-Insights-from-Marketing-Campaigns

The purpose is to train a predictive model that can determine if a given customer will subscribe to a term deposit based on these various features. By analyzing historical data on successful and unsuccessful subscription outcomes, patterns can be identified which help predict future subscription behavior.

Language: Jupyter Notebook - Size: 39.2 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

sayande01/Thyroid_disease_Prediction_ML

This project develops an advanced predictive model to identify thyroid disease recurrence using machine learning algorithms. We used a detailed dataset with demographic, medical, and clinical features, and implemented Logistic Regression, Decision Tree, Random Forest, and CatBoost Classifier. Rigorous preprocessing and EDA were performed.

Language: Jupyter Notebook - Size: 875 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ConradKleykamp/Loan-Approval-Prediction

Leveraging and tuning a LightGBM model to predict whether or not a loan will be approved

Language: Jupyter Notebook - Size: 2.73 MB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

kunalshelke90/Predict-Bank-Credit-Risk-using-South-German-Credit-Data

This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

alaeddinee21/RH-analystics

This project predicts employee promotions using a CatBoost classifier. It preprocesses data by filling missing values, scaling numerical features, and encoding categorical data. The model pipeline includes SMOTE for handling class imbalance, aiming to accurately identify employees likely to be promoted.

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Kunritty/Poisonous-Mushrooms-Classification

Data analysis and model training to predict whether mushrooms are poisonous or edible

Language: Jupyter Notebook - Size: 8.04 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

santicar1809/aprendizaje_automatico_textos

Clasification model of positive and negative reviews using NLP

Language: Jupyter Notebook - Size: 28.1 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

hperer02/Credit-risk-model

Discover a comprehensive approach to constructing credit risk models. We employ various machine learning algorithms like LightGBM and CatBoost, alongside ensemble techniques for robust predictions. Our pipeline emphasizes data integrity, feature relevance, and model stability, crucial elements in credit risk assessment.

Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

10mudassir007/Water-Potability

Water potability classifier using simple logistic regression to advanced gradient boosting algorithms

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

harmanveer-2546/House-Price-Prediction-

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

harmanveer-2546/Credit-Card-Fraud-Detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

Language: Jupyter Notebook - Size: 508 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

DataRish/MBTI-Personality-Predictor

This project predicts MBTI personality types from users' recent 50 posts using NLP and ML techniques.

Language: Jupyter Notebook - Size: 24.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yhunlu/datascience-end-to-end-heart-disease-project

Classification problem in Heart-Disease Data

Language: Jupyter Notebook - Size: 486 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

VikramBansall/Credit-Risk-Model-and-Analysis

Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Prashant-Tiwari26/Multimodal-Sentiment-Analysis-using-Text-and-Images

Multimodal Sentiment Analysis using Text and Image Data on twitter dataset

Language: Jupyter Notebook - Size: 282 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

aajinr/bank_marketing

bank marketing prediction for a term deposit campaign, identify non-potential customers

Language: Jupyter Notebook - Size: 2.62 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

JohnyCoder238/ICR_competition

ML competition submission to classify anonymous age related condition

Language: Jupyter Notebook - Size: 30.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

GishB/HTTPRequestClassification

Решение задачи поиска аномальных HTTP запросов (их классификации) к сервису.

Language: Jupyter Notebook - Size: 22.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yoraghav/Automated_Hangman

Uses letter frequency and catboost classifier model in synchronous for guessing letters in hangman game instance. The model performance is evaluated on both seen words in the dictionary and words out of the dictionary.

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

EgorSolovei/ML-in-nuclear-physics2

Дипломная работа физического факультета СПбГУ

Language: Jupyter Notebook - Size: 439 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

RimTouny/Network-Intrusion-Detection-Kaggle-Competition-Predictive-Modeling-and-F1-Score-Optimization

Kaggle competition on network intrusion detection. Train model, predict test set, submit as CSV (ID, Class). F1-score metric. Part of my 2023 master's program at the University of Ottawa in AI for Cyber Security.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

boldirev-as/Digital_perm23

ML-solution of the case of the District hackathon Leaders of Digital 2023. The task was to predict accidents (accidents, pipe ruptures, fires) based on the weather forecast for each of the urban districts. Gradient boosting (macro f1), cross-validation, shap values.

Language: Jupyter Notebook - Size: 553 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hikmatullah-mohammadi/multi-class-cirrhosis

Kaggle Playground Series - Season 3, Episode 26 - Multi-Class Cirrhosis | EDA | MI-Score | Feature Engineering

Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Praveen76/Employee-Attrition-Mini-Project

Address employee attrition effectively with this mini project. Discover a comprehensive solution leveraging data analytics and machine learning techniques. Uncover insights, build predictive models, and implement strategies to mitigate attrition risks, fostering a resilient and productive workforce.

Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

salim-benhamadi/landslide-prevention-and-innovation-challenge

Classifying if a landslide occured or not

Language: Jupyter Notebook - Size: 125 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

k-loki/Mars-spectrometry-14th-place-solution

This is my final solution to the Mars-spectrometry challenge by NASA hosted on @drivendataorg

Language: Jupyter Notebook - Size: 4.27 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

DanniRodrJ/milling-machine_failure-prediction

Machine Learning aplicado al mantenimiento predictivo. Se realizaron 2 modelos: 1 por medio de clasificación binaria que predice si una máquina fresadora estará en riesgo de fallar o no, y el 2 modelo a través de clasificación multiclase que predecirá el modo de falla

Size: 1.89 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

john-fante/flower-detection-meta-learning

Flower Detection w/Meta Learning(ViT, CatBoost, SHAP)

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

john-fante/malware-classification

Malware Classification w/CatBoost and SHAP

Language: Jupyter Notebook - Size: 243 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

himarygr/disease-prediction-ml-model-app

A model on the streamlit framework predicts disease and makes a treatment recommendation

Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

bh-Abhishek-b/Web-Server-Log-Analysis

Web Server Log Analysis

Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

se-grey/DS-_Matching

Educational project

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

issacchan26/CreditRiskPrediction

Data Analysis and prediction on Kaggle dataset: Credit Risk Dataset

Language: Python - Size: 15.6 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

john-fante/water-quality-classification-with-CatBoost

Water Quality Classification w/CatBoost

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

loopiiu/DSP2_Endterm

Expresso Churn Prediction Challenge - dealing with imbalanced dataset

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 9 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

HendEmad/GraduationProject_Embedded-AI-Medical-Quadcopter

This repo includes Cardiac arrest prediction part, path planning, and landing system of the quadcopter.

Language: Jupyter Notebook - Size: 17.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

Shrinidhi1/New-User-Engagement-Challenge

Given the data of the user activity of a month, can predict user activity for the upcoming month.

Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

Priya-cse/Zindi-New-User-Engagement

New User Engagement

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Harmanveer2546/House-Price-Prediction-using-Machine-Learning

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0