The Machine Learning Module

Explore a collection of classification machine learning models implemented in Python. This repository showcases a variety of algorithms applied to different datasets, demonstrating their effectiveness in solving classification problems.

A collection of projects and notes from my exploration of machine learning. Starting with simple linear regression and classification, and progressing to neural networks and recommendation systems.

End 2 End Project Using Multiple Models & Deployment using Flask

This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

Мой проект DS (небольшие учебные задания из учебного курса Data Science) / My DS project (Small learning tasks from the Data Science training course)

The project shows how to create our own large-scale synthetic dataset for multi-class classification. The goal is to create a Vision Transformer model from scratch and run it in a digital twin made in Unity with a 6 DoF robot for palletization process.

I'm excited to share my data science project🚀, where I've applied various techniques and insights to solve a specific problem. The project follows best practices for maintainability and reproducibility, using the Data Science Project Template. Dive into the project to explore the code, datasets, documentation, and resources that showcase MyJourney

This project aims to predict the income bracket of individuals based on a variety of features, and presents a holistic comparative analysis between multiple machine learning algorithms through hyperparameter optimization on a binary classification problem.

Lua-Based Machine And Deep Learning Library (For Roblox And Pure Lua). Contains 30 Models!

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence.

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

A curated list of my machine learning projects. Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.

Create two models to predict the student's final result in a virtual learning environment

Sleep Position Classification App Using Deep Learning

backup of scripts used for neural decoding of single unit and multiunit data

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

A microservices-based architecture bank application that includes back-end and front-end applications, as well as a binary classification model, smart contracts to store data on-chain and TheGraph subgraphs.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

This project is dedicated to accurately classify Alzheimer's disease into Demented, Non-demented and Converted Category.

Compendium of free ML reading resources

Mnist digits multi perceptron neural-network training from scratch with c++ and opencv matrix. (nn with c++)

Implementation from scratch for several classification algorithms such as NN, AdaBoosting, KNN and Naive Bayes

Machine learning and data analysis package implemented in JavaScript and its online demo.

Classification of Leukemia White Blood Cell Cancer using MaxViT and EfficientNetB3

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

دوره جامع یادگیری عمیق با Tensorflow و Keras

RESTful API for classifAI. Provides audio transcription and question categorization.

VisionQuery GPT-4v is a cutting-edge tool that combines screenshot-based queries with OpenAI's GPT-4. It enables users to capture screens, ask questions, and receive insightful answers from GPT-4v, revolutionizing digital interaction and understanding.