GitHub / Marlyn-Mayienga / Machine-Learning-Insights-into-Titanic-and-Wine-Data

This project applies machine learning techniques to two datasets: the Titanic dataset for survival prediction and wine datasets (red and white) for quality analysis. It explores decision trees, KNN, logistic regression, and LASSO regression to uncover patterns, evaluate model performance, and provide actionable insights.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Marlyn-Mayienga%2FMachine-Learning-Insights-into-Titanic-and-Wine-Data
PURL: pkg:github/Marlyn-Mayienga/Machine-Learning-Insights-into-Titanic-and-Wine-Data

Topics: decision-trees, knn, lasso-regression-model, logistic-regression, scikitlearn-machine-learning, seaborn-python

• Files
• Readme
• Dependencies