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Ray Chun's Projects

ab_test icon ab_test

This project demonstrates how to perform A/B testing with a Z score, use data visuals, and graphs to measure the relationship between light and dark theme apps and the proportion of purchases online. The data used in this project is purchasing and marketing data.

article_recommendations icon article_recommendations

A project in python that auto recommends a list of similar articles based off the text and title of other articles.

bike_sharing icon bike_sharing

A visual analysis of a public bike sharing system in R.

billionaires icon billionaires

An analysis of Billionaires across the world using Python.

btc_bitcoin icon btc_bitcoin

Analysis of Bitcoin prices from the last year using Python.

college_apps icon college_apps

A python project to predict college applications. A robust data set with several features is used. Several models were implemented for performance and feature selection.

fertilizerinsas icon fertilizerinsas

This repo represents an analysis of variance or ANOVA calculation on a set of fertilizers in SAS

google_trends icon google_trends

An analysis of Google Trends data using Python and Pytrends.

heart_disease icon heart_disease

A heart disease classification project in Python. The data set uses age, gender, blood pressure, and more health statistics to predict heart disease.

highest_paid_athletes icon highest_paid_athletes

An analysis for the highest paid athletes for a 10 year span in Python. The data set is from the Forbes list that compiled their net worth.

housing_prediction icon housing_prediction

A project that is used to predict median value of houses from California in SAS programming. A glmselect and reg procedure was used to analyze the prices.

image_detection icon image_detection

A project in python using image detection the cvlib package/library. Sample images included in this repo.

marketing_campaign icon marketing_campaign

A project invovling a control and test capaign for online marketing, AB testing in Python. Data includes clicks, views, cart adds, purchases, etc. Key data science features include AB testing, visuals, and graphs.

movies icon movies

Capstone Project with Box-Office Budget Prediction, Oscars Classification with Machine Learning in R

nba icon nba

NBA Win Shares Machine Learning Project in R

nba_2022 icon nba_2022

A visual analysis of the 2021-2022 NBA season in Power BI

smartwatch_fitness icon smartwatch_fitness

An analysis of Smartwatch fitness data in Python. Data includes calories burned, date tracking, steps, total distance etc. As a footnote, the data tracked women from a range of backgrounds and used data from their Fitbit devices.

sparknlp icon sparknlp

Named Entity Recognition (NER) with BERT in Spark NLP

spotify_popularity_prediction icon spotify_popularity_prediction

This Spotify Popularity prediction analysis was done in Python using Jupyter Notebooks. 3 linear regression models were used: linear regression, KNN regressors, and Support Vector Machines.

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