Parallel computing with task scheduling

Open standard for machine learning interoperability

This project focuses on analyzing credit risk to predict the likelihood of default on loans. It leverages various data analysis and machine learning techniques to assess borrower risk.

FEDn: A production-grade, open federated learning framework. This repository contains the open source Python framework, CLI and API.

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Explore a comprehensive collection of Python programming for my different data science projects. This repository covers data exploration, visualization, machine learning, deep learning, NLP, web scraping, and model deployment. Perfect for enthusiasts looking to delve into practical examples and advanced techniques.

Practical part of our introduction to machine learning course for beginners. In python (scikit-learn)

Comparison-based Machine Learning in Python

EBOP Model Automatic input Value Estimation Neural network

Flower: A Friendly Federated Learning Framework

DSBA6211 Adv Business Analytics Lab Notebooks

Software platform for clinical neuroimaging studies

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

This project analyzes movie reviews to determine if they are positive or negative. It uses machine learning techniques to train models on a dataset of reviews, allowing them to predict the sentiment of unseen reviews.

Interactive predictive analytics for Berlin's real estate market with regression and classification analyses, featuring a user-friendly GUI for selecting and visualizing different tasks, designed for Replit.

A toolkit for machine learning from time series

NLP Sentiment Classification Project

30 Semi-Supervised Learning Algorithms

Выполненные проекты за время обучения, а так самостоятельные исследования. Содержат ссылки на доп.материалы внутри себя по теме проекта.

A unified framework for machine learning with time series