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 Bioinformatics Training Facility 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.

Practice programming with R and Python on all data science algorithms

Materials supporting the Multivariate analysis sessions

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

Machine Learning with Python and R

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

Contains programming resources learnt from our sources like google, microsoft, IBM and many more

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.

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.

Scientific code snippets miscelanea

UBX World Data Science intern work