javiermoralesgit
Random collection of Machine Learning and Data Analytics projects done by Javier Morales.
Miami, Florida
Pinned Repositories
Analyzing-Baseball-Data-with-R
Book examples of Analyzing Baseball Data with R Second Edition that introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data.
Extract-Stock-Sentiment-from-News-Headlines
Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight. Completed on Datacamp.com.
MLB-Draft-Signing-Bonus
Determining the signing bonus for the 17th overall pick for the 2019 MLB Draft.
Predicting-Credit-Card-Churn
Finding Hidden Patterns of Credit Card Holder’s Churn through the use of different Machine Learning modeling techniques such as Linear Regression, Logistic Regression, Decision Tree, Clustering and Neural Networks.
Risk-and-Returns-The-Sharpe-Ratio
Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio. Completed on Datacamp.com.
singlearity-R
R sample code
A-New-Era-of-Data-Analysis-in-Baseball
There's a new era of data analysis in baseball. Using a new technology called Statcast, Major League Baseball is now collecting the precise location and movements of its baseballs and players. In this project, you will use Statcast data to compare the home runs of two of baseball's brightest (and largest) stars, Aaron Judge (6'7") and Giancarlo Stanton (6'6"), both of whom now play for the New York Yankees. The dataset used in this project is from Baseball Savant. This project was completed on Datacamp.com.
css-exercises
cv
git_test
Odin Project Assignment
javiermoralesgit's Repositories
javiermoralesgit/css-exercises
javiermoralesgit/odin-recipes
javiermoralesgit/git_test
Odin Project Assignment
javiermoralesgit/cv
javiermoralesgit/A-New-Era-of-Data-Analysis-in-Baseball
There's a new era of data analysis in baseball. Using a new technology called Statcast, Major League Baseball is now collecting the precise location and movements of its baseballs and players. In this project, you will use Statcast data to compare the home runs of two of baseball's brightest (and largest) stars, Aaron Judge (6'7") and Giancarlo Stanton (6'6"), both of whom now play for the New York Yankees. The dataset used in this project is from Baseball Savant. This project was completed on Datacamp.com.
javiermoralesgit/Risk-and-Returns-The-Sharpe-Ratio
Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio. Completed on Datacamp.com.
javiermoralesgit/Extract-Stock-Sentiment-from-News-Headlines
Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight. Completed on Datacamp.com.
javiermoralesgit/MLB-Draft-Signing-Bonus
Determining the signing bonus for the 17th overall pick for the 2019 MLB Draft.
javiermoralesgit/NBA-Front-Office-Dilemma-Improving-the-Miami-Heat-Team-Score-Index
Observational study using NBA public data to test multiple combinations of free agent players to assemble the Miami Heat 2021 team.
javiermoralesgit/Predicting-Credit-Card-Churn
Finding Hidden Patterns of Credit Card Holder’s Churn through the use of different Machine Learning modeling techniques such as Linear Regression, Logistic Regression, Decision Tree, Clustering and Neural Networks.
javiermoralesgit/Analyzing-Baseball-Data-with-R
Book examples of Analyzing Baseball Data with R Second Edition that introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data.
javiermoralesgit/singlearity-R
R sample code