Apple AppStore Apps Preference Predictor
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Updated
Dec 20, 2022
Apple AppStore Apps Preference Predictor
EDA on walmart black friday sales with bootstrapping and hypothesis testing
Performed a probabilistic analysis on sample GPA data using techniques such as Empirical distribution, Bootstrapping and Bayesian Analysis.
R programming and its application to data analysis and statistical methods
Analyze A/B Test Results - Data Analyst Nanodegree with Udacity
Computer Intensive Stats - Project 02
Nonparametric comparison of convolutional neural networks and transformers to classify COVID-19
Statistical Inference for Data Science: UBC Term Project (2022W) - Inferential Analysis
Analyzed A/B test where we moved the first gate in Cookie Cats from level 30 to level 40 to provide statistical & practical significance w.r.t player retention.
Report on analysis of A/B Test run by an e-commerce website to test their new web page
Prediction Model, Bias and Uncertainty
This project has the purpose to apply what I have learned in inferential statistics such as bootstrapping, confidence interval, hypothesis testing and other tools for data analysis like categorization, binnig, etc.
Review of bootstrap principles and coverage analysis of bootstrap confidence intervals for common estimators
Scripts developed for the Data Visualisation class
R codes for the ANMU research paper.
jeksterslabRboot is a collection of functions that I find useful in studying bootstrapping concepts and methods.
Calculate confidence intervals for correlation coefficients
Monte carlo calculation of Spearman's rank correlation coefficient with uncertainties. Following Curran (2014)
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