A simple tool to help teams conduct an effective product discovery assessment
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Updated
Apr 30, 2020 - HTML
A simple tool to help teams conduct an effective product discovery assessment
Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.
Hypothesis Testing - a/b Testing - Data Visualization - Statistical Inference
A analysis of the gender pay data across Scottish companies
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
This project aims to analyze a dataset of sales transactions from a UK-based e-commerce store specializing in gifts and homewares over one year. With 500,000 rows and 8 columns, including transaction numbers, dates, product details, prices, quantities, customer identifiers, and countries, the analysis focuses on understanding customer behavior
Study project for practice of A/B testing for students of Data Analyst nanodegree by Udacity. Statistical tests were performed in order to decide if company should implement new design of website.
All my R code used for statistical analyses - Hypothesis Testing, t-tests, etc.
2nd Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Hypothesis Testing
Predicting Nobel Physics Prize winners. Final project for Harvard CS109a 2017 edition https://github.com/covuworie/a-2017.
This repo contains code, a presentation, and a project report regarding suicide rates in the US from 1985 - 2015
Program Evaluation with Non-Parametric Statistics and Hypothesis Testing
An analysis of A/B Test results to help an e-commerce site decide whether or not they should implement a new page design.
After studying the historical data of the major cab services in major US cities, providing actionable advice to XYZ private firm for cab investment so that it can make an informed decision.
Performed A/B test and help the company decide whether they should implement the new web page, keep the old page, or run the experiment longer.
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