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1. tidycausality tidycausality Public

   This project aims to implement meta machine learning algorithms for causal inference

   R 1

2. Wine-Quality-Classification Wine-Quality-Classification Public

   Wine quality prediction using regression and classification. Models include Linear Regression, KNN, Random Forest, XGBoost, and more. Metrics: RMSE (regression), Accuracy, Kappa, ROC AUC (classific…

   R

3. Telco-Customer-Churn Telco-Customer-Churn Public

   This project aims to predict customer churn using machine learning techniques in R. By analyzing customer data, we identify patterns and build models to help businesses improve customer retention s…

   R

4. Heart-Failure-Prediction Heart-Failure-Prediction Public

   Heart Failure Mortality Prediction with R & Tidymodels Using R and Tidymodels, this project predicts heart failure mortality with models like Logistic Regression, Random Forest, GBMs, and SVM, iden…

   R

5. Bank-Marketing-Analysis Bank-Marketing-Analysis Public

   Bank Marketing Campaign Analysis This project analyzes a Portuguese bank’s telemarketing campaign to predict term deposit subscriptions. The goal is to identify key factors influencing customer dec…

   R

6. Preventive-Maintenance-for-Marine-Engines Preventive-Maintenance-for-Marine-Engines Public

   This R project analyzes the 'Preventive Maintenance for Marine Engines' dataset from Kaggle. The dataset includes engine parameters, maintenance events, and failure indicators, aiming to predict ma…

   R