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During the winter semester 2018/2019 (from November 2018 to January 2019) I lectured at the course "Introduction to Statistics in R" at the Faculty of Philosophy, University of Novi Sad, Serbia. On this page you can find codes used at the course, contact me for handouts, presentations and data sets.
Scalable and efficient LCH CDS pricing data scraper with Docker support, enabling streamlined ETL processes to MSSQL database. Designed for robust performance with advanced error handling.
The Data Science Internship repository is designed to provide hands-on experience with real-world data science projects. It includes a variety of projects focused on key aspects of data science such as data cleaning, exploratory data analysis, data visualization, feature engineering, and machine learning.
The course will help you uncover insights in a sample dataset using a case study approach. You will use all SQL queries to understand the cause for the dip in the pre-sales.
This module covers how to assemble multiple tables into a dataset using SQL queries. It also introduces how to transform and clean data using SQL functions.
An analytic report outlining how different cryptocurrencies on the trading market can be grouped to create a new classification system for an investment portfolio and the investment's bank customers.
Implementation of a traditional classifier of argumentative components (claims and premises), trained with features/metadata previously extracted from manually annotated argumentative sentences from the citizen proposals available in the Decide Madrid platform.