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Complete introductory statistics textbook with an emphasis on the biological & environmental sciences. Includes 26 chapters introducing key concepts for a foundational understanding of statistics and 9 complementary chapters of exercises with jamovi. Supplemental shiny apps illustrate book concepts. All code and datasets are freely available.
This repository contains MATLAB code for skin detection using k-means color clustering. The project aims to segment skin regions in images of hands with different backgrounds by implementing repetitive k-means clustering and probability thresholding.
This is my final project for my Social Statistics course where I analyzed Radiohead's discography and attempted to analyze their data and turn it into meaningful observations. I looked at song length, album, listens, personal enjoyment, and other variables.
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.
Implementation of ESCI as used in the book Introduction to the New Statistics, Estimation, Open Science & Beyond by Geoff Cumming and Robert Calin-Jageman.
Statistics is a vital foundation for data science and machine learning, offering insights into data behavior through probability, distributions, and key analyses like T Test and Chi-Square.