- ๐ Hi, my name is Gilad Battat and I'm a M.Sc student in CS and works as an Android Software Developer at Applovin.
- ๐ Iโm interested in Software Development and Machine Learning.
- ๐ฑ Iโm currently learning Android Development with Java, Backend with Django and Data Science.
- ๐๏ธ Iโm looking to collaborate on Android projects, Django projects or data oriented projects with Python.
- ๐ซ How to reach me - send an Email or send a message in LinkedIn.
A client software that sends encrypted messages between clients on different computers using a model of client-server.
The client side is written in C++ and has a Command line interface.
The server side is written in Python and uses socket for network communication.
Using genetic algorithms to explore the game of life.
This project was built with python and implements a genetic algorithm that finds patterns in the game of life that are called methuselahs. This project was a final project in a course about Computational Biology.
Extension to MetaOD software - an Outlier Detection automation tool.Anomaly Detection automation tool, used to help with the model-selection problem in case of Anomaly detection Machine Learning models, and automating the process.
Brain Tumor Detection from MRI images using ML techniques.The project contains various classification models like CNN and it was built using Jupyter Notebook and various python packages like Keras and Scikit-Learn.
Libraries like: Pandas, NumPy, Matplotlib, Sklearn, TensorFlow, Django. OOP, Java Collections and Generic types, Threads and Excepion Handelling.
Android Development Basics. OOP, Network and Socket programming.
Basic tags, Styles and JavaScript operations - currently learning in self-pace.
- Scientific Computing with Python
- Data Analysis with Python
- JavaScript Algorithms and Data Structures
- Data Structures and Algorithms
- Database Management Systems - with PostgreSQL
- Computational Biology
- Intro to Artificial Intelligence
- Seminar in Cybersecurity with Machine Learning
- Defensive System Programming
- Image Processing
- Machine Learning
- Tabular Data Science
- Data Science Workshop
- Deep Learning