This repository contains the codebase used in the research conducted for the paper titled "Benchmarking Cryptocurrency Forecasting Models in the Context of Data Properties and Market Factors." The study involved a rigorous assessment of thirteen different time series forecasting models over twenty-one cryptocurrencies and four distinct time frames.

Data Science Portfolio

Price tracker and analyser

An analysis of house prices in Beijing

Back-end server for price analytics platform, enables tracking of sales statistics for various products and product clusters across different countries

An interactive dashboard for analyzing used car sales data across various US states with dynamic visual analytics

Python program to check and compare prices of food items from popular store brands in Estonia.

This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.

Explore cryptocurrency market trends with Python using unsupervised learning techniques. Using Jupyter Notebooks to implement K-means clustering and Principal Component Analysis (PCA) to analyze and predict price trends of cryptocurrencies over 24-hour and 7-day periods.

Very simple cryptocurrency price analysis made for college course purposes using Python and Jupyter Notebook

week 5, day 1 lab - EDA univariate: explores product attributes such as categories, pricing, and ratings on Amazon UK. Using univariate analysis techniques, the project guides you through frequency tables, measures of centrality and dispersion, and insightful visualizations to uncover business trends for product positioning and pricing strategies.