Implemented supply chain management scripting to optimize inventory classification and supplier management processes through the use of ABC segmentation and Kraljic Matrix.

A configurable installer CLI for installing R from source (sudo and non-sudo).

These materials support the Core statistics sessions, run through the Centre for Research Informatics Training at the University of Cambridge.

Simple Python and R tool for the purpose of swapping latinic letters with cirilic ones and vice versa in txt, docx and pdf files in Serbian language

A repo dedicated to learning machine learning in both Python and R

A data analysis mini project.

Chess.com web scraper, data analysis, and database examples

This project is the Udacity's A/B Testing final course project where a hypothetical experiment was conducted to test few metrics in the hypothetical online platform.

Materials supporting the Multivariate analysis sessions

Practice programming with R and Python on all data science algorithms

Welcome to the Data Analysis and Econometrics repository! This space is dedicated to providing examples and snippets for applying econometric methods using various tools such as Python, R, GRETL, Excel, and more.

Implementing Gradient Boosting , XGboost, AdaBoost & SuperLearner in Python and comparing their classification accuracy of the two methods.

Machine Learning with Python and R

Fit four different neural networks: (a) Two distinct single hidden layer neural networks. (b) Two distinct neural networks with two hidden layers. Compare the accuracy of these four Neural networks among them. Also compare it to other classification methods.

Scientific code snippets miscelanea

Academic Courseworks

Code for poster, presented at CIMAT's conference EPE2025, "Analizying geometric patterns of behaviour of flights from London to Gothemburg using RFPCA." Analysis of 191 flight trajectories using RFPCA method by Xiongrao Dai and Hans-Georg Müller. DOI RFPCA: https://doi.org/10.1214/17-AOS1660

Simple square packing toy project using oop principles and tooling for different use cases