A Hypothesis Testing Analysis of FC Barcelona's Season

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

Case study on handwashing in hospitals to prevent diseases in Vienna in 1818.

Fast streaming univariate and bivariate moments and t-statistics

An ensemble of machine learning models for detecting fraudulent credit card transactions, utilizing advanced techniques for feature selection, data imbalance handling, and hyperparameter tuning.

Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit

A Python package for statistical analysis of A/B tests.

USC CURVE Fall 2023-Spring 2024 — Suen Lab, Sanya Chandni Khattar

I practiced hypothesis testing with Python.

COPD severity grading using lung sounds and machine learning

Examples of using the test statistics to test hypotheses

RoBTT R package for estimating robust Bayesian t-test

The purpose of this study is to observe if a sample of people that has siblings is independent of a sample of people that possess an opinion of whether patients with incurable diseases should be allowed to die.

All of these previous analyses were done in SAS. I transitioned them over to Python to practice the language.

This Streamlit application simulates A/B tests, providing a platform to evaluate the performance of different statistical tests based on data distribution.

Here I did an analysis of a survey taken on cell based meat and processed it using R to find correlations and make some assumptions on the data.

Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.