An Automated Particulate Data Collection Script

Projetos de Data Science feitos com a liguagem R

I-BIOM

Proof of Concept Rest call to retrive an DICOM Worklist

Simple examples for applied machine learning an dialog systems

Support Vector Machines for classification in the famous Iris and Mushroom datasets. Kernels used for the SVM are linear, polynomial, and radial.

basic codes for r,regression,pca,python,streamlit,shiny

This project has the intention to show a basic approach using the Analytics capabilities of InterSystems IRIS

A proof of concept showing the potential of QEWD as a backend store for solid server

InterSystems IRIS Interoperability + PEX using Java workshop

Iris flower classification using KNN and Random forest algorithm

This repository contains simple usage examples for basic machine learning libraries. These notebooks are tested in Colab.

The popular IRIS dataset is used for the training of linear and non-linear SVM models. The hyper-parameters are fine-tuned of the models are fine-tuned using K-Fold Cross-Validation and GridSearch to improve model performance.

Some sample jupyter notebooks of machine learning, including my project

使用Go基于WebSocket实现的IM即时通讯系统

IRIS Gaze Tracking using Neural Network in MATLAB

Within this repository contains my project submission for 4th year module, Emerging Technologies