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Projects in Awesome Lists tagged with catboost-classifier

A curated list of projects in awesome lists tagged with catboost-classifier .

https://github.com/ohincu/insurance-cross-selling

Identify health insurance customers with interest in a vehicle insurance.

catboost-classifier classification python random-forest-classifier

Last synced: 13 May 2026

https://github.com/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.

catboost catboost-classifier catboostregressor dataanlaytics datavisualization-project housepriceprediction lightgbm lightgbm-classifier lightgbm-regressor machinelearningalgorithms r2score rmse-score xgboost xgboost-algorithm xgboost-classifier

Last synced: 22 Mar 2025

https://github.com/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.

catboost-classifier decision-trees gradient-descent machine-learning random-forest scikitlearn-machine-learning

Last synced: 14 May 2026

https://github.com/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.

aws cassandra catboost-classifier classification credit-risk data data-science dataanalysis dockerfile finance financial-analysis flask github-actions logging machine-learning mlflow numpy pandas python

Last synced: 03 Jan 2026

https://github.com/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.

catboost-classifier label-encoder machine-learning matplotlib numpy pandas robust-scaler scikit-learn seaborn simple-imputer

Last synced: 15 Apr 2026

https://github.com/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

catboost-classifier data-science data-visualization geopandas machine-learning matplotlib python random-forest-classifier seaborn

Last synced: 29 Apr 2026

https://github.com/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.

catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine

Last synced: 07 Apr 2026

https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap

Last synced: 18 Apr 2026

https://github.com/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.

catboost-classifier machine-learning predictive-modeling

Last synced: 06 Apr 2025

https://github.com/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.

catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn svm

Last synced: 09 Apr 2026

https://github.com/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.

catboost-classifier ensemble-machine-learning exploratory-data-analysis feature-engineering machine-learning mental-health xgboost-classifier

Last synced: 05 Aug 2025

https://github.com/alessioborgi/MLPipelineOptimizationStudy

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.

catboost catboost-classifier data-imbalance gridsearchcv kernel-svm lightgbm lightgbm-classifier logistic-regression pca pca-analysis random-forest resource-complexity svm t-sne voting-ensemble xgboost xgboost-classifier

Last synced: 18 Jan 2026

https://github.com/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.

bank campaign-finance catboost-classifier classification investment-analysis

Last synced: 12 Jun 2026

https://github.com/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

catboost-classifier decision-tree-classifier machine-learning-algorithms supervised-learning

Last synced: 15 Mar 2025

https://github.com/c1utchforward/CreditCardDefault_Prediction

Credit card defaulter prediction using data science techniques

catboost-classifier datascience optuna smote

Last synced: 16 Jan 2026

https://github.com/avd1729/taxol-drug-resistance

Taxol Drug Resistance cell lines in Breast Cancer using CatBoost

catboost-classifier

Last synced: 17 Jan 2026

https://github.com/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.

ann catboost-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg

Last synced: 13 Apr 2026

https://github.com/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.

catboost-classifier eda flask-application matplotlib-python music-classification python scikit-learn seaborn

Last synced: 30 Apr 2026

https://github.com/hariprasath-v/zindi_umojahack-india-income-prediction-challenge

Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.

catboost-classifier classification exploratory-data-analysis f1-score matplotlib numpy pandas python scikit-learn seaborn shap zindi

Last synced: 13 Apr 2026

https://github.com/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.

catboost-classifier ensemble-machine-learning exploratory-data-analysis feature-engineering machine-learning mental-health xgboost-classifier

Last synced: 29 Mar 2025

https://github.com/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.

catboost-classifier classification data-analysis data-visualization machine-learning-algorithms predictive-modeling

Last synced: 29 Mar 2025

https://github.com/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.

catboost-classifier classification diabetes-prediction ensemble-machine-learning exploratory-data-analysis knn-classification logistic-regression visualization-tools

Last synced: 02 Aug 2025

https://github.com/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

adaboostclassifier ann autoencoder catboost-classifier cnn deep-learning gradientboostingclassifier lgbmclassifier lstm machine-learning rnn xgboost-classifier

Last synced: 18 May 2026