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

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

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.

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

Solving a Logistic Regression For Multiclass Classification problem to save Hogwarts.

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

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.

Projet de NLP pour la suggestion de tags sur Stack Overflow. Comparaison de modèles supervisés (Logistic Regression, SGD, SVM, XGBoost) et non supervisés (LDA, NMF). Implémentation finale dans une API Streamlit déployée sur Streamlit Cloud

This repo is Homework-02 of EE-559(Machine Learning I: Supervised Methods) completed at USC.

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

A system to predict the category of tweets during times of crisis (like - flood, cyclone, earthquake, wildfires, pandemic etc.) Multilabel classification was done. Here, we have used 24 categories(6 of which are actionable categories).

A multi-class classification problem where the objective is to read a question posted on the popular reference website, StackOverflow and predict the primary topics it deals with, i.e. tags which the question will be associated with.

A Machine Learning project predicting dementia progression from MRI data using SVM, One-vs-Rest and One-vs-One classifiers

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

Build and evaluate classification model using PySpark 3.0.1 library.

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