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

This repo contains a simple Python implementation of the Perceptron algorithm, one of the earliest and most fundamental building blocks in machine learning.

Distributed System Fault Diagnosis System based on Machine Learning

42nd General Election Prediction for CSCI 6509 Natural Language Processing

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

College Student Placement Predictor

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.

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

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

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.

This is a model built using Python , Lasso and Linear Regression algorithm.

The Intelligent Medical Questions Router emplea NLP y modelos de aprendizaje automático (scikit-learn/MLflow) para diagnosticar enfermedades y responder consultas sobre síntomas. Ofrece una interfaz intuitiva que agiliza la resolución de dudas médicas para profesionales y pacientes, optimizando la toma de decisiones clínicas.

Beginner and Advanced Machine Learning Notes

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

Birds Classification by using Scikit-learn and Scikit-image

example of random forest implementation using kaggle data set

Sign Language to Text Conversion using CNN is a deep learning-based system that converts hand gestures into text using Convolutional Neural Networks (CNNs).

This Django-based movie recommendation system utilizes TF-IDF and cosine similarity to provide personalized movie suggestions based on user ratings and genre preferences. It enhances the user experience by helping them discover films that match their interests. The project also uses SQLite for data storage and includes user authentication.