Null Models for Directed Hypergraphs

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

Create 2 item group from even number of items.

A collection of random sampling algorithms in Python.

Source code written in java and python for random sampling without replacement with a reservoir

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.

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

complete case analysis drops the whole column if there are missing values, arbitrary value imputation in this we can use replace (mean or median) with -1 or 99.999, end of the distribution it replaces the values with "missing" term

Code for the paper "Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages", by Chloe Wohlgemuth, Cyrus Cousins, and Matteo Riondato, appearing in ACM KDD'21 and ACM TKDD'23

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

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

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.

Perform Data Sampling with Python

Efficient random sampling via linear interpolation.

Credit card fraud detection, gender classification from name etc.

Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors