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Collection of stats, modeling, and data science tools in Python and R.
The University of California, San Diego, course DSE210x "Probability and Statistics in Data Science using Python" (Winter 2018): Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Part 2 of »Data Science« MicroMasters® on edX, Instructors: Alon Orlitsky and Yoav Freund, Professors of CS and Engineering, University of California San Diego.
Master thesis - Functional distribution fitting of the top tails of the wealth distribution by the example of Germany and the United States
SimOutUtils - Utilities for analyzing time series simulation output
Distributional Analysis of Function Words in Russian
Study, analysis and extraction of knowledge from the web and social networks.
Identification of bimodal genes in scRNA-Seq. - Pipeline designed to rank genes by their expression patterns to showcase the 'exp-runner' Python package at work.
Investigation and visualization of time related features in Bikesharing system dataset
Distribution analysys of a linear regression coeficients