Detecting correlated columns in DBMS systems using techniques like Pearson Correlation, LSH Minhashing and Random Sampling.

Null Models for Directed Hypergraphs

The aim of this project was to sample a sports data set

Collection of python scripts

Perform Data Sampling with Python

In this project, I used a dataset containing the historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

This paper proposes an alternative data-driven hap- tic modeling method of homogeneous deformable objects based on a CatBoost approach – a variant of gradient boosting machine learning approach. In this approach, decision trees are trained sequentially to learn the required mapping function for modeling the objects.

A machine learning project to predict Customers/Clients into correct segment to provide promotional information or for product advertising.

Create 2 item group from even number of items.

Optimal approximate sampling from discrete probability distributions

A collection of random sampling algorithms in Python.

Make Julia code probabilistic-programming-ready by allowing calls to `rand` to be annotated with traced addresses.

Reference implementation of the Affirmative Sampling algorithm by Jérémie Lumbroso and Conrado Martínez (2022). 🍀

Ray Tracer implementation in C++, Random Sample AA, multi-threading, bvh acceleration, temporal denoising, soft shadows, and runtime comparisons on different CPUs

Performing common visual data analytic tasks using Python and D3.js.

CS404 Artificial Intelligence final project. This project is based on the Pneumonia Images dataset found on Kaggle. The goal was to classify the images using classic Artificial Neural Networks.

Optimal implementation of reservoir sampling algorithm in Julia.

Output randomly sampled lines from input stream or file

An introduction to Monte Carlo methods by estimating π. This code comes in the form of a Python program.