Beginner-Friendly Data Science with Python Repository: An accessible and user-friendly collection of Python code and resources tailored for individuals starting their journey in data science. It provides step-by-step guidance, practical examples, and fundamental concepts to help beginners learn and apply data science techniques using Python

A quick guide to Data Science, DBMS, and AWS concepts

Computational and Applied Mathematics notes

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

A Coq formalization of information theory and linear error-correcting codes

Open-source Python module implementation of the Randonautica app functionality. Using the ANU Quantum Random Number Generator to generate random coordinates by kernel density estimation, similar to how Randonautica calculates "Attractor" points.

An estimation language

ProbPy is a comprehensive repository dedicated to providing an extensive collection of probability puzzles, riddles, and solutions typically encountered in data science and quantitative research interviews.

Fluent Random Picker is a nice, performant, fluent way to pick random values. Probabilities can be specified, values can be weighted.

A repository to showcase the upskilling of self in theoretical & applied aspects of data science during the ongoing sabbatical of 17 months(Jan. 2022 - May 2023*) along with hand written notes. It's an "attempt" to pursue masters in data science using Internet as an open university.

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

📦 Python library for Stochastic Processes Simulation and Visualisation

Python dice probability package.

All the code required to reproduce the results in our paper "Scaling Up Structural Clustering to Large Probabilistic Graphs Using Lyapunov Central Limit Theorem"

Parsing a resume, predicting whether it will get screened for a given job description or not and generating counterfactual suggestions.

Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html

Mathematics for Machine Learning and Data Science specialization on Coursera

Cauchy distribution.

Cauchy distribution constructor.

Cauchy distribution quantile function.

Test if a value is an array of probabilities that sum to one.

Cauchy distribution cumulative distribution function (CDF).

Cauchy distribution natural logarithm of cumulative distribution function (CDF).

Kumaraswamy's double bounded distribution constructor.

Kumaraswamy's double bounded distribution excess kurtosis.

Kumaraswamy's double bounded distribution expected value.

Kumaraswamy's double bounded distribution.

Kumaraswamy's double bounded distribution skewness.

Kumaraswamy's double bounded distribution standard deviation.

Kumaraswamy's double bounded distribution variance.