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
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
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
Report on analysis of A/B Test run by an e-commerce website to test their new web page
Prediction Model, Bias and Uncertainty
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.
Review of bootstrap principles and coverage analysis of bootstrap confidence intervals for common estimators
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.
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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