Hi, I am Mohamed - a Software
developer and IT engineer.
I help people through their digital transformation by building
modern looking website, management software and IT support.
About Me
I'm an independent software developer and IT engineerbased in Algeria. I love creating beautiful looking websites, and consistent software for the benefit of the best user experience possible. And I consider myself to be completly blessed that i get to do it for a living.
I have a master degree in Network and Data Engineering. I develope software since 2017.
I started my coding career back then with purpos of continuously learning and developing my skills in software development, communication and marketing.
If you are interested in collaboration feel free to leave message.
My Projects
Intrusion Detection System
The objective of our work is to achieve a network-based intrusion detection system whilemaximizing detection rates and reducing computing time without loss of information. Inorder to achieve this objective, we first apply the algorithm of the k Nearest Neighbours(KNN). This algorithm is time-consuming ; therefore, we apply in a second time the algo-rithm of the Condensed Nearest Neighbours (CNN). It consists mainly to reduce the learningdata set which considerably reduces the computation time. To further contribute to reachour goal we reduced the number of attributes in the data sets packages by selecting the mostrelevant characteristics.
Read the case study
Snaphot
The objective of our work is to achieve a network-based intrusion detection system whilemaximizing detection rates and reducing computing time without loss of information. Inorder to achieve this objective, we first apply the algorithm of the k Nearest Neighbours(KNN). This algorithm is time-consuming ; therefore, we apply in a second time the algo-rithm of the Condensed Nearest Neighbours (CNN). It consists mainly to reduce the learningdata set which considerably reduces the computation time. To further contribute to reachour goal we reduced the number of attributes in the data sets packages by selecting the mostrelevant characteristics.
Read the case study
GymFit
The objective of our work is to achieve a network-based intrusion detection system whilemaximizing detection rates and reducing computing time without loss of information. Inorder to achieve this objective, we first apply the algorithm of the k Nearest Neighbours(KNN). This algorithm is time-consuming ; therefore, we apply in a second time the algo-rithm of the Condensed Nearest Neighbours (CNN). It consists mainly to reduce the learningdata set which considerably reduces the computation time. To further contribute to reachour goal we reduced the number of attributes in the data sets packages by selecting the mostrelevant characteristics.
Read the case study