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Sondos Ahmad Aabed's Projects

advanced-deep-learning-with-keras icon advanced-deep-learning-with-keras

problem-solving with the Keras functional API, diverse architectures, multi-layer perceptrons to multiple inputs/outputs and shared weights

babies-frecuencies icon babies-frecuencies

Baby-Frecuencies managment application using AVL tree as data Structure. Java | JavaFX

cars-agency icon cars-agency

In this assignment, I apply the following concepts I learned in java (abstract class, interfaces, Polymorphism, exception handling, Files manipulation and encapsulation)

datacamp-deep-learning-track icon datacamp-deep-learning-track

Advanced deep learning concepts, utilizing Keras and TensorFlow to explore neural networks, model optimization, and practical applications

datacamp-image-processing-track icon datacamp-image-processing-track

This track covers the fundamentals, from image pre-processing to deep learning. Began with image enhancement, restoration, biomedical images to convolutional neural nets, build powerful deep learning image classifiers.

digital-forensics-investigation icon digital-forensics-investigation

This report was written for the Digital Forensics Analysis coursework, specifically the first assignment. In which, steps and screenshots for each investigation process are recorded.

equations-processor icon equations-processor

An equation processor application using linked stack and cursor array implementations of a linked stack.

file-carving-tool icon file-carving-tool

This project was done as part of the Digital Forensics Analysis coursework, specifically the file carving tool.

image-modeling-with-keras icon image-modeling-with-keras

Understanding images as data, training CNNs, and optimizing their performance, gained the skills to apply deep learning techniques with applications

image-processing-in-python icon image-processing-in-python

Using scikit-image: Process, transform, and manipulate images, restore damaged images, perform noise reduction, smart-resize images, count the number of dots on a dice, apply facial detection.

introduction-to-deep-learning-with-keras icon introduction-to-deep-learning-with-keras

Using Keras in deep learning, covering tasks like predicting asteroid trajectories, binary classification of real and fake dollar bills, and reconstructing noisy images with neural networks.

introduction-to-python-programming icon introduction-to-python-programming

Course with Udacity. Python programming fundamentals such as data structures, variables, loops, and functions. Worked with data using libraries like NumPy and Pandas.

introduction-to-sql icon introduction-to-sql

Course with udacity that cover SQL for data Scientists, this is my solution for the lessons and the project

introduction-to-tensorflow-in-python icon introduction-to-tensorflow-in-python

using TensorFlow to develop, train, and make predictions with models in various fields. Topics like linear regression, neural networks, and high-level APIs in TensorFlow.

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