an implementation of a Radial Basis Function Neural Network (RBFNN) for classification problem.

Distributed System Fault Diagnosis System based on Machine Learning

42nd General Election Prediction for CSCI 6509 Natural Language Processing

Coronary heart disease analysis, dataset - https://www.kaggle.com/datasets/billbasener/coronary-heart-disease. For analysis i used: k-means clustering, k-neighbors classifier, decision tree classifier. Libraries: scikit-learn.

Linear classifier using logistic regression with only 2 features for MNIST Database.

Machine learning with scikit-learn

💻 Machine Learning driven Web application to predict whether a Stackoverflow question will be closed or not.

🛡️ Spam classifier using Python, capable of accurately categorizing messages as spam or non-spam. Leveraging machine learning techniques and natural language processing, it's a robust tool for filtering unwanted messages.

✂️ Simplified version of U^2-Net for testing purposes

This repository provides an implementation for the data pipelines and AI models used in the COPERIA project.

example of random forest implementation using kaggle data set

These scripts are about how can create a cnn model.

Comparative Analysis of Association Rule Mining and Decision Tree Algorithms

Dental caries analysis. For analysis i used: k-means clustering, k-neighbors classifier, decision tree classifier. Libraries: scikit-learn.

The main goal here is to apply some Supervised Machine Learning classifiers on the Spambase dataset from the UCI Machine Learning Repository and perform Significance analysis afterwards.

Multi-class classifier with only 2 features for MNIST Database.

Beginner and Advanced Machine Learning Notes

Machine learning algorithms.

This model was built using Python and Logistics Regression algorithm

This repository contains mini projects in machine learning