Skeleton-based method for activity recognition problem

Image Processing and classification using Machine Learning : Image Classification using Open CV and SVM machine learning model

Türkçe metinlerde konu modellemesi için tahminleme çalışması.

Machine learning and optimization algorithms from scratch + visualization

Build and evaluate classification model using PySpark 3.0.1 library.

Linear Support Vector Machine (LVSM) multilabel classifier to identify trends and deficiencies in utility equipment failure mitigation strategies

Predict tags on StackOverflow with linear models - Week 1 assignment of Coursera's Natural Language Processing course from the Advanced Machine Learning Specialization.

Numpy from-scratch implementation of ML Algorithms: Kernel Perceptron, kNN, MLP, and more

Deep Learning VS. Machine learning

Projet de NLTP comparant des approches supervisées et non supervisées dans le cadre de la formation d'ingénieur machine Learning dispensé par Openclassrooms

Identifying handwritten digits with a single layer perceptron based multi-class linear regression model.

Training and Evaluation of two multi-label models. Applied on stack overflow question title to predict a set of tags

This is a basic implementation of a resume screening model using machine learning techniques

This repository contains the implementation of the Logistic Regression algorithm for classifying the Iris dataset using the One-vs-Rest (OvR) approach, developed with Python 3.12 and TensorFlow v2.16.

Identifying handwritten digits with a single layer perceptron based multi-class linear regression model.

This project demonstrates multiclass classification using Perceptron and Logistic Regression, implemented from scratch without using built-in libraries. It includes techniques like One-Versus-The-Rest and One-Versus-One for Perceptron, and Softmax for Logistic Regression, with a focus on understanding core ML concepts.

Algorithms and implementations to participate in Kaggle YouTube-8M Video Understanding Competition