My life dashboard - automatically track and visualize your data. Using common tracker APIs to create a minute by minute representation of your day.

Repo contains codes implemented for different side channel attacks and faults for CS579 (physical attacks and countermeasures) for my Master's at Oregon State University

A hub that contains notebooks that perform elementary descriptive statistics of populations and samples and demonstrates 3 hypothesis tests- Welch t-test, Correlation, and Chi-square test. It shows how to run them in python and understand the results

A jamovi module to calculate Student's and Welch's t-Test (including related Cohen's d) based on summary data (mean, standard deviation, and sample size), to comprehend reported tests.

A data-driven A/B testing project comparing website performance under Light and Dark themes. Analyzes user engagement metrics using statistical tests, correlation analysis, and predictive modeling to identify behavioral patterns and theme effectiveness. Built in Python using Jupyter Notebook with pandas, seaborn, and scikit-learn.

A workflow to understand the changes in expression levels of epithelial cells in smokers.

C++ header only library of statistical tests; Brunner Munzel & Welch t.

Aplikasi Shiny untuk membandingkan ketegaran dan kuasa uji t (klasik) dan uji Welch terhadap dua sampel.

Continuation to Data Analysis using more mathematical approach.

This repository presents a case study on understanding causes of death using inferential statistics and data visualizations. The testing is done through Welch's t test and hypothesis testing, and the findings are visualised through countplots, line charts.

Regression models for predicting customer acquisition costs (CAC) and the effectiveness of univariate and lasso feature selection techniques in improving the accuracy.

Statistical analysis of salary differences based on job mode (remote vs. in-person) and education levels using Welch’s t-test, ANOVA, and bootstrapping.