OPTIMEO is a web application doubled by a package that helps you optimize your experimental process by generating a Design of Experiment, generating new experiments using Bayesian Optimization (BO), and analyzing the results of your experiments using Machine Learning models.
My journey through data science
An experimental analysis of RTOS scheduling algorithms (Priority, Round Robin, EDF) on ESP32, focusing on CPU utilization and energy efficiency using real task execution data.
Experimental analysis of Priority Queues (Max Heap, Sorted/Unsorted Linked Lists) and Sorting Algorithms. Includes benchmarking, theoretical comparison, and a detailed PDF report
Comprehensive analysis of the NP-Complete problem k-Clique
My Dissertation for my Computer Science BCs at UCY
Experimental analysis of house price prediction using 16 different Artificial Neural Network (ANN) architectures. Features automated data preprocessing, K-Fold cross-validation, and performance optimization with Keras.
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