Explore live open-source projects and AI models.

This repository contains code, data and other resources for COSC/MATH 3570: Introduction to Data Science at Marquette University for Fall 2018. The official description of the course is as follows: This course is a first introduction to the new and rapidly evolving field of data science. We wil... Read more

This project generates synthetic wildlife migration data and applies machine learning to predict future locations, enabling analysis and visualization of animal movement patterns for ecological research and conservation planning.

This repository contains my work while completing the specialization created by University of Michigan on Coursera. The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended ... Read more

This program consists of clean and polished Graphical User Interface (GUI) that interacts with 8 Machine Learning models and data visualization tools through the use of different Python libraries. The user can interact with the GUI through selecting which model to run on the testing data on, whic... Read more

This project analyzes the Auto dataset to predict vehicle fuel efficiency using machine learning techniques in R. Through data preprocessing, visualization, and feature selection, a Naïve Bayes classifier was trained to classify cars as high or low mileage, achieving ~88% accuracy with strong ins... Read more

Statistics, Visualizations and Paper Links of Machine Learning Conferences

In this project first we fetch data of any stock(NSE) in realtime then we evaluate the stock price using basics visualizations then we Predicting future stock price using machine learning algorithms

This project analyzes breast cancer data using Python, employing libraries for data manipulation, visualization, and machine learning. The main objectives are to explore the dataset, visualize insights, and implement classification algorithms to predict breast cancer diagnoses.

The Databionic swarm is an unsupervised machine learning method for cluster analysis and the visualization of structures of high-dimensional data.

An ensemble machine learning model based on quantum ‎machine learning ‎classifiers is proposed to predict the risk of heart disease. The proposed ‎model ‎is a bagging ensemble learning model where Quantum ‎Support Vector ‎Classifier is used as the base classifier. Furthermore, in order to make th... Read more