A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.

Detection of fractures in radiographs by obtaining the X and Y coordinates of the center of the fracture applying ML (SVR) to obtain the values ​​of these coordinates separately. It is applied to a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1

A webpage application that can record attendance using the attendee's face. This application provides essential tools to manage attendance during runtime conveniently.

Machine Learning No-Code Environment

Audio Pattern Recognition project - Music Genres Classification

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Cardiovascular Disease Prediction Web App

Supervised Stylometry

Unigram Part-of-Speech Tagging using Support Vector Machines and Word Embedding Features

Реализация SVM с веб-интерфейсом

Help the business to automate the credit card routing via a predictive model. Such a model should increase the payment success rate by finding the best possible PSP for each transaction and at the same time keep the transaction fees low.

Sign Language Recognition System by Support Vector Machines (SVM)

30 Semi-Supervised Learning Algorithms

This repository contains implementations of various machine learning algorithms from scratch (KNN, MSE Linear Regression, SVM, Neural Networks, Logistic Regression). Each algorithm is implemented in Python and is contained in its own directory.

Kali Linux sanal makinesi kullanarak DDoS saldırılarının simülasyonunu gerçekleştirip, oluşturulan veri seti üzerinde makine öğrenme algoritmaları ile saldırı tespiti ve normal trafikten ayırma.

An Interactive Dashboard for Predicting Bank Customer Attrition

Sentiment Classification with Bagging and SVM

Brain tumor classification using CNN and ML Techniques

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现

• Developed a Machine Learning Model, OHMEE, for recognizing and solving offline handwritten mathematical expressions (OHME), utilizing image data from documents, images, papers, and transcripts. • Developed user-defined mathematical methods to evaluate the solved string expressions, generating and plotting appropriate results.