Probabilistic deep learning for data streams.

A repository comprising multiple functions for making elegant publication-quality figures in MATLAB

Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)

Generative Density Approximation for Deterministic Chaos The Hopalong Attractor

A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.

Longtail transforms RV from the given empirical distribution to the standard normal distribution

Power Spectral Density Probability Density Functions Calculation in Julia.

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Coursework for Advanced Communication Theory at IMPERIAL, 2021

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Statistics Cheatsheets

A comparative analysis of probability density functions for the modelling of peak currents delivered by lighting strikes in Johannesburg.

Python package 'pyproblib' calculates and visualizes statistical probability distribution functions.

A new possibilistic-based clustering method for probability density functions and its application to detecting abnormal elements

ENCM 509 - Fundamentals of Biometric Systems Design - Winter 2024

This repository contain all the codes I worked on form my MSc Project.

Python library containing variety of statistics related functions used in my research.

This is a repository containing the notes on statistics and probability for Data Science from basics to Advance

This is a calculator that can find the probability density function of a normal distribution.

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Visualize probability distribution function of a binomial distribution

A Program for the Calculation of Effective One-Particle Potentials (OPPs)

This README summarizes a collection of Jupyter notebooks that demonstrate core statistical concepts, data analysis techniques, and Python programming proficiency. Each notebook combines theoretical explanations with practical Python implementations to showcase hypothesis testing, probability distributions, and data transformations.

Probabilistic and Statistical analysis of the frequency of received messages with MATLAB as a tool

Group players according to their swing mechanism using Blast data from practice. Then build individually targeted improvement plans for all groups of hitters by looking at their Trackman data from games. I also built models to come up with my own xwOBA to further evaluate their performance.

Exploring probability density distributions with Matplotlib and Seaborn

Ronald Fisher accused Mendel, the founder of genetics, of altering his data. Is there evidence to suggest that Mendel really may have fudged his numbers?

This is a custom-built library I created, offering practical tools for data analysis and statistical exploration.

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