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actfunc-gradientanalysis

Derivation of backpropagation equations based on specific activation functions & analysis of the behavior of activation function gradients across Neural Networks of varying depths

bayesian-linear-regression

Probability theory fundamentals, polynomial regression from scratch and full Bayesian inference

breastcancer-singlecell

Replication and extension of the single cell RNA-seq analysis paper "Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer"

classifiers-from-scratch

Implementation using ONLY the Numpy library of classifiers and the evaluation of their performance on the iris plant and the pima Indians diabetes datasets.

countries-cluster-analysis

The objective of this study is to cluster the countries using socio-economic and health factors that determine the overall development of the country and to characterize each resulting cluster (and, consequently, the countries it comprises) based on the relevant values of the above factors

disk-based-suffix-tree

Replication & from scratch implementation of the paper: Phoophakdee, B., & Zaki, M. J. (2007, June). Genome-scale disk-based suffix tree indexing. In Proceedings of the 2007 ACM SIGMOD international conference on Management of data (pp. 833-844).

eloquentjssolutions

My solutions to all exercises of the book Eloquent JavaScript 4th edition (2024)

hepatitisc-ml-prediction-pipeline

Pipeline for binary classification algorithm evaluation with nested cross validation and Bayesian hyperparameter tuning with optuna, particularly suited for unbalanced medical datasets.

hyper-spectral-image-clustering

Qualitative and quantitative evaluation of the performance of clustering algorithms in HSI clustering

ibm-data-science-captsone

image-processing-tasks-cv2

Image processing tasks in python using OpenCV

kyriakospsa

Profile README

neural-networks-adversarial-examples

This repository contains code to solve different tasks related to building, training and creating adversarial examples for classification models on the MNIST and CIFAR10 datasets.

pneumonia-detection

Comparison of feature extraction and prediction of classical ML algorithms vs Deep Neural Networks for classifying patients into healthy or pneumonia-positive categories from chest X-ray images

regression-from-scratch

This repository contains a generalized regression analysis problem solved from scratch, using only the Numpy library.

single-cell-ml-pipeline

single-cell RNA seq Gaussian Mixture Model analysis pipeline. Accepts as input a single cell dataset (rows:cells x columns:gene expression) and provides their trajectories based on fitted Gaussian Mixture Models.

snpop

An application package for the collection, visualization and small scale analysis of catalogued data regarding single nucleotide polymorphisms across populations.

structural-bioinformatics

RNA folding dynamic programming, c-RMSD & d-RMSD analysis for protein similarity

transfer-learning-vision

Study on the performance of pre-trained models (VGG16, EfficientNetb0, ResNet50, ViT16) with weight fine tuning, as well as classical ML algorithms (Naive Bayes, Logistic Regression, Random Forest) on a dataset of 6.806 fungi microscopy Images utilizing Pytorch.