WGDI: A user-friendly toolkit for evolutionary analyses of whole-genome duplications and ancestral karyotypes

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

A fundamental set of equations, used in photogrammetry, to relate coordinates in a 2D sensor plane to 3D object coordinates.

Linear Regression (Gradient Descent) from scratch

Assess multicollinearity between predictors when running the dredge function (MuMIn - R)

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

This repo contains various projects and assignments I worked on in my Economics Courses

Code for full subsets model fitting using GA(M)M

An implementation of photogrammetry space intersection

The goal of this project is to build a model that can accurately predict the price of a house based on its features.

All code in this repo serves for a developer candidate test.

This repository shows, how linear models behave if the features of the dataset are collinear in nature. Support Vector Machine(SVM) and Logistic Regression(LR) algorithms are used as linear models. Weights and accuracy scores are recorded in different scenarios.

Clustering personalities and labelling based on sampled survey responses (Hierarchical and K-Means).

This project determines whether or not a set of points are collinear

I collected dataset related to COVID-19 disease in various dimensions and presented here. You can read its details in "Adaptive Elastic-net Sliced Inverse Regression to Identify Risk Factors Affecting COVID-19" article. Also, here are the codes for the proposed method.