A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
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Updated
Nov 3, 2024 - Jupyter Notebook
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
Fully managed library providing various random number generators and distributions.
The most common discrete and continuous distributions, showing how they find use in decision and estimation problems, and constructs computer algorithms for generating observations from the various distributions. and applications, and lastly the most important concept is covered is entropy
Probabilités et statistiques
Implementation from scratch of discrete and continuous probability distributions with examples.
A Collection of Basic Utilities for Statistical Analyses
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