Ray Chun's repositories
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
A visual analysis of a public bike sharing system in R.
Billionaires
An analysis of Billionaires across the world using Python.
BTC_Bitcoin
Analysis of Bitcoin prices from the last year using Python.
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.
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.
Counterfeit_Currency
An analysis of Counterfeit Currency in Python.
Credit_Score_Evaluation
A predictive analysis and evaluation of Credit scores in Python.
Diamond_Price_Prediction
An analysis in Python of Diamond prices based off size, color, dimensions, and other details.
Dogecoin_Time_Series
A Time Series forecast of Dogecoin using Python and the Yahoo Finance API.
Forecasting_Revenue
A project in Python using Arima to calculate quarterly forecasting for revenue.
Google_Trends
An analysis of Google Trends data using Python and Pytrends.
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
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
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
A project in python using image detection the cvlib package/library. Sample images included in this repo.
LeBron_James_Career
A visual analysis of LeBron James' NBA career in Python.
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.
NBA_1990s_Analysis
An analysis of NBA data from the 1990's decade.
Salary_Prediction_Analysis
An analysis of salary prediction based off years of experience.
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.
Social_Media_Shopping
An analysis of shopping and purchases from Social Media in Python.
Spam_Message_Detector
A model and input method to detect Spam messages in Python.
Student_Grade_Prediction
A prediction analysis of student grades in R.
Text_Analysis
Repository of Text Analysis in Python. Sklearn and Rake libraries used to analyze text samples and study the words, language.
Video_games
An analysis of popular video game sales among different companies and platforms. Key features include visuals, plots, graphs, and linear regression in Python
Waiter_tips
An analysis of waiter tips. A model using demographic and time data used to predict the amount of tips. Key Data Science details include exploratory stats, visuals/graphs, and modelling in Python