Comparing logistic regression, decision tree, random forest, k-nearest neighbors, and SVMs in regard to binary prediction performance metrics.

This code performs email spam classification using three machine learning models: Naive Bayes, Support Vector Machines (SVM), and Random Forest Classifier. It evaluates their performance using accuracy scores and classification reports, ultimately identifying Random Forest Classifier as the best performer among the three.

Machine learning model used to predict the species of the iris flower

Model buat TA Sentimen and Topik Berita Indonesia

🌻Flower Recognition using Multi-class classification 🌻

Educational notebooks reviewing machine learning models and concepts.

Trying out Diffrent machine learnign techniques using hand written digits dataset

Fastapi app to predict a person's chance of suffering from a heart attack using machine learning and a patient's clinic reports.

Created an SVM Model to predict whether a female is diabetic or not

Research project supervised by Professor Thomas Sinclair of Purdue Mathematics

In this work, an automatic and reproducible methodology is proposed using computer vision techniques for sorting oranges by size and defects. Master thesis written in Spanish.

Real time Human Detection in webcam

This project examines various machine learning models for classifying text (restaurant and movie reviews) and images (CIFAR-10 dataset)

5 different kinds of machine learning alorithms has been used for the classfication of the animals and have been compared with each other

Ce projet est une proposition de solution au Rakuten Data Challenge. L'objectif est de mettre en œuvre différentes méthodes de Machine Learning et Deep Learning pour résoudre le problème.

Solution of the telegram ML competition 2023

Implemented Machine Learning Models to predict Stroke