Peter Matov (@peter1998)
github

peter1998

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Top repositories

1

Mountain-Trips-and-Landmarks

C#
2
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2

Computer-Vision

C++
2
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3

AI-Powered-3D-Website

JavaScript
2
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4

Cryptocurrency-Market-Analysis-Platform

A platform leveraging data science and machine learning to analyze and predict cryptocurrency market trends. It includes modules for data collection, processing, machine learning, and visualization for user-friendly results.
Python
2
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5

ASP.NET-Core-MVC

This is the first tutorial of a series that teaches ASP.NET Core MVC web development with controllers and views. At the end of the series, you'll have an app that manages and displays movie data. You learn how to: Create a web app. Add and scaffold a model. Work with a database. Add search and validation.
C#
2
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6

Angular-Project

Angular Project SoftUni
TypeScript
2
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7

CryptoLearnX

CryptoLearnX is a full-stack, cloud-based platform that provides a comprehensive learning experience for those interested in cryptocurrencies. It leverages modern technologies and best practices to deliver high performance and scalability.
TypeScript
2
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8

ComputerVision-with-Python

Computer Vision Exercise for analyzing images with python - Pycharm
Python
1
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9

Car-Management-System

1
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10

Exam-Preparation-3

Learning : Arrays , Lists , Dictionaries , Methods and Regex
C#
1
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11

Project-Management-System

1
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12

Interfaces-and-Abstraction---Exercise

This is my Repository for SoftUni University Homework Course OOP
C#
1
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13

vending-maschine

JavaScript
1
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14

BookLibrary

Java
1
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15

React-Portfolio-Website

JavaScript
1
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16

3D_Peter_Matov_Portfolio

JavaScript
1
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17

test-repo

C
1
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18

Web3-Blockchain-Crowdfunding-Platform-

Testing Transaction on Meta Mask with web 3 and React skeleton
1
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19

React-Responsive-Gym-Website

JavaScript
1
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20

credit-management-system

A web-based credit management system built with Angular for the frontend, Node.js/Express.js for the backend, and SQL for the database. The system allows for the creation of new credits, viewing all credits, and making payments towards credits.
TypeScript
1
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21

EcoNet

EcoNet applies machine learning to ecological data for insights and predictions. Using Python, R, Scikit Learn, PyTorch, TensorFlow, Caret, Tidy Models, and Torch, we aim to address ecological challenges through data analysis and predictive modeling.
Jupyter Notebook
1
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22

Angular-Quiz-App

An Angular-based quiz application featuring multiple-choice questions, user answer confirmation, feedback display, score tracking, and a restart function. This project demonstrates proficiency in Angular framework concepts including components, data binding, event handling, and routing.
TypeScript
1
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