#Train-test-split

ODAncona

bboxconverter

This library allows reading and converting bounding box annotations in many popular formats

NhanPhamThanh-IT

Logistic-Regression-Rock-Mine-Prediction

🪨 Machine learning project using logistic regression to classify sonar signals as either rocks or mines. Uses scikit-learn to train a binary classifier on sonar dataset with 60 numerical features for accurate underwater object detection.

NhanPhamThanh-IT

Random-Forest-Wine-Quality-Prediction

🍾 A comprehensive machine learning project using Random Forest algorithm to predict wine quality based on physicochemical properties. Features EDA, model training, hyperparameter tuning, feature importance analysis, and detailed documentation.

NhanPhamThanh-IT

Logistic-Regression-Heart-Disease-Prediction

🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient dataset with 13 medical features. Complete ML pipeline from data exploration to model evaluation.

NhanPhamThanh-IT

SVM-Diabetes-Prediction

🩺 Machine Learning diabetes prediction model using Support Vector Machine (SVM) classifier. Analyzes 8 medical features (glucose, BMI, age, etc.) from Pima Indian dataset to predict diabetes risk with 75-80% accuracy. Built with Python, scikit-learn, pandas. Includes data preprocessing, model training, and prediction system for diabetes..