This is a project for a building a model that can classify the situation of water wells across the Republic of Tanzania.

Evaluating k-nearest neighbors and singular value decomposition techniques for collaborative filtering recommender systems

Verify banknote specimens using various classification algorithms on Wavelet-Transformed images

Data Mining, PSTAT 131 Spring 2017. Final project comparing ML classification models to categorize 'good' wine.

Trabajo Práctico de la materia Laboratorio de Datos sobre un Modelo de Regresión para predecir viajes diarios en EcoBici y un Clasificador de noticias reales y falsas de un dataset

This repository contains a detailed analysis of the Spambase Dataset using different classification algorithms, including Logistic Regression, Logistic Regression with Backward Feature Elimination (BFE), Support Vector Machine (SVM), SVM with Normalized Data, Decision Trees, Random Forest, K-Nearest Neighbors (K-NN), and K-NN with Normalized Data.

Heart Diseases Prediction using scikit-learn

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modif…