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Hi there πŸ‘‹ I am Matan-Ben

  • πŸ‘· I'm a Fullstack Developer at CoderZ!

  • πŸŽ“ B.Sc Computer Science and Mathematics Graduate !

  • 🌱 Currently focusing on Web-Application

  • ⚑ Fun fact: I wrote a book and into gymnastics 😁

Matan-Ben Nagar Github Status










Matan-Ben Nagar Github Status

πŸ“« How to reach me:

LinkedIn
[email protected]

Matan Ben Nagar's Projects

call-center-cloud icon call-center-cloud

This repository contains code for a cloud-based call center application, focusing on user generation, dashboard management, and server-side operations.

cisco-malware-detetction-challenge icon cisco-malware-detetction-challenge

In this challenge, our task was to predict and classify malicious and benign network traffic by utilizing our knowledge in data exploration and machine learning models.

cpp-course-assignments icon cpp-course-assignments

This repository contains the code assignments and tests for an introduction to C++ university course. The assignments cover a range of topics and skills, including basic programming concepts, object-oriented programming, data structures and unit testing.

cyber-attacks-detection icon cyber-attacks-detection

The course highlights the difficulty and challenges that exist in the areas of cyber defense, performing in a wide wall on Possible threats and solutions through the use of learning systems.

data_base icon data_base

Developing the ability to optimally design the database by locating functional dependencies Dependency Functional, and the use of methods for normalization; implementation and use of databases (Standard Query Language) - SQL using Learning Databases SQL No, Learning How to Deal With Multiple Information and JAVA Streams Learning to predict information based on existing information.

deep-learning-projects icon deep-learning-projects

Understanding the deep learning architecture, including working with images and series. A regression model in which a number is predicted and a classification model in which a class to which the item belongs is predicted. Basic concepts in natural language processing.

evil-twin-attack icon evil-twin-attack

An evil twin attack is a spoofing cyberattack that works by tricking users into connecting to a fake Wi-Fi access point that mimics a legitimate network. Once a user is connected to an β€œevil twin” network, hackers can access everything from their network traffic to private login credentials

file-parser-api icon file-parser-api

Flask based API allowing users to send (PDF, Docx, doc, txt) files to retrieve clean text without any images, signs and so on...

oop-undirected-graph icon oop-undirected-graph

This projects implements an undirected graph, including vertices, edges and a few graph traversal algorithms.

operating-systems icon operating-systems

Provide the necessary theoretical and practical knowledge in major approaches used in various designs of operating systems. The course provides an introduction to modern operating systems.

sl-imageclustering icon sl-imageclustering

Image Clustering algorithms research with K-Means, various feature extraction methods, PCA

sms-phishing-detection-semi-supervised icon sms-phishing-detection-semi-supervised

This repository was created in order to try and implement a SpamGAN. A generative adversarial network which relies on limited set of labeled data as well as unlabeled data for opinion spam detection.

sniffing-and-spoofing-lab icon sniffing-and-spoofing-lab

The objective of this lab is for students to master the technologies underlying most of the sniffing and spoofing tools. Students will play with some simple sniffer and spoofing programs, read their source code, modify them, and eventually gain an in-depth understanding on the technical aspects of these programs. At the end of this lab, students should be able to write their own sniffing and spoofing programs.

system-programming-c icon system-programming-c

The course deals with In the basic syntax of the C language,control theorems, functions, arrays (sorting and searching),Strings, pointers, dynamic memory allocation, and recursion. The course includes lectures and exercises

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