Predict tags on StackOverflow with linear models - Week 1 assignment of Coursera's Natural Language Processing course from the Advanced Machine Learning Specialization.
Image Processing and classification using Machine Learning : Image Classification using Open CV and SVM machine learning model
Linear Support Vector Machine (LVSM) multilabel classifier to identify trends and deficiencies in utility equipment failure mitigation strategies
Training and Evaluation of two multi-label models. Applied on stack overflow question title to predict a set of tags
A Machine Learning project predicting dementia progression from MRI data using SVM, One-vs-Rest and One-vs-One classifiers
Projet de NLTP comparant des approches supervisées et non supervisées dans le cadre de la formation d'ingénieur machine Learning dispensé par Openclassrooms
Algorithms and implementations to participate in Kaggle YouTube-8M Video Understanding Competition
This is a basic implementation of a resume screening model using machine learning techniques
This repo is Homework-02 of EE-559(Machine Learning I: Supervised Methods) completed at USC.
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.
Machine learning and optimization algorithms from scratch + visualization
Build and evaluate classification model using PySpark 3.0.1 library.
Solving a Logistic Regression For Multiclass Classification problem to save Hogwarts.
Numpy from-scratch implementation of ML Algorithms: Kernel Perceptron, kNN, MLP, and more
Skeleton-based method for activity recognition problem
Identifying handwritten digits with a single layer perceptron based multi-class linear regression model.
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
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