PhD Class, basic Stats in R
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Updated
Feb 16, 2018 - Jupyter Notebook
PhD Class, basic Stats in R
Finding out whether university towns are less affected by recession.
Udacity DAND Project: Test a perceptual phenomenon, analyzing the Stroop Effect comparing the statically significant difference between groups exposed in different aspects of the Stroop effect using inferential statistics
Explores the efficacy of using discounts at the Northwind Traders. Answers questions like "Does discount amount have a statistically significant effect on the quantity of a product in an order?"
Conducted a research on Stroop Effect
A/B test to determine the better marketing Campaign
Running various statistical tests with R and R-studio to analyze manufacturing specifications and ensure lot integrity
Source code for Yik, W., Serafini, L., Lindsey, T., Montañez, G. (2022). Identifying Bias in Data Using Two-Distribution Hypothesis Tests. AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society. https://doi.org/10.1145/3514094.3534169
Probability theory and statistics in HSE
Implementation of "Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making”(ICML 2020) in Python
Galvanize Capstone Project: Gender vs Phobias - The objective of this capstone is to see if a person's gender has a statistical significance on their phobias. This is accomplished using Chi-Squared Hypothesis Testing.
Supplementary slides for DSCI 501 on probability & basic statistics
Cab riding trips are analyzed to understand more on how trips are affected by weather condition, how certain spots attract more taxi passengers, and how a taxi company stands out in making most trips.
1. Designed the research study about the effect of Supplemental Nutrition Assistance Program (SNAP) to food security; 2. Used R to conduct simulated experiments to investigate the likely outcome.
This is an A/B testing project that was made to see if a new version of a sign up button in a website is better than current one.
This project used statistical analysis, a/b testing, and visualization to decide whether the new landing page of an online news portal (E-news Express) is effective enough to gather new subscribers or not. The dependence of conversion on the preferred language will also be analysed on this project.
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