László Nemes's Projects
This repository contains an example how to configure a .NET API project with MSSQL database with docker-compose
Implementation of a REST API in .NET Core 3.1
Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.
The app builds a Dataset from the selected Sheet of an excel file and sends the emails to the people listed there. (The email text is also in the excel.)
Two ways to read excel file row by row, one with "ExcelPackage" and one with "Office interop" method. Plus, create DataSet from excel where every sheet as a table of the dataset
Sort actually files from directory to a destination directory (currently .pdf -s)
Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.
Simple fitness tracker application to track and store information about your exercises to keep yourself consistent and manage your time more well during the workouts.
For This Forum Backend using Spring Boot, Spring Security with JPA Authentication, Spring Data JPA with MySQL, Spring MVC.
This repository contains a our work about the "Real-time Constrained Cycle Detection in Large Dynamic Graphs" paper, which present a GraphS system to efficiently detect constrained cycles in a dynamic graph, which is changing constantly, and return the satisfying cycles in real-time.
Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.
A script that can be placed in the Task Scheduler, which monitors that the IIS Application Pool is "Started", and the application is available. If not it sends an email with Sendgrid.
Invoke / Reflection Dummy. With a specified area, with an internal abstract class implementation, where you have to modify the AssemblyInfo as well with a "InternalsVisibleTo" possibility
Item-item collaborative filtering, or item-based, or item-to-item, is a form of collaborative filtering for recommender systems based on the similarity between items calculated using people's ratings of those items.
Script that can be used to decompile .jar files
Codes with minor comments of Java Multithreading course
"Job" searching (Basic) and posting application with Sequelize (Postgres)
Kanban UI built with React, NextJS, Redux, Material UI, React-Beautiful-DnD
Clustering is the task of dividing the population or data points into a number of groups such that data points in the same groups are more similar to other data points in the same group and dissimilar to the data points in other groups. It is basically a collection of objects on the basis of similarity and dissimilarity between them.
Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.
LetsDate is a dating platform which contains almost every feature like the other dating services, but maybe that's could be your choice.
The "LetsDate" project with Nginx reverse proxy and docker compose.
LetsMeet is a meetup / workshop / event organizer and handler site, where you can post your coming events and interact with others. Lets organize your next futuristic tech event or any other what comes to your mind.
LetsShop is a eCommerce site, where you can buy almost everything for a winter adventure, and pay as easily as possible like the most popular shops on the web.
This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.
MEN (MongoDB - Express - Node) fully setuped project with a userController (login, register stc.)
Java Swing GUI Management for Movies with Glassfish Database. Movie recording interface with a complete database control, which gives a search option for our managed movies, plus search option etc.
"Port" / "Refactor" a previous java desktop project to a web project, which gives us a opportunity to manage our movies and give it to "rent" etc.
Track movies with informations about the actual movie, actors and more. Let's store the places where you can watch or you have watched this movies.