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Name: Alec Arroyo
Type: User
Bio: MS in Applied Data Science at Syracuse University || BS in Computer Science and Applied Mathematics at SUNY Albany
Location: Albany, NY
Name: Alec Arroyo
Type: User
Bio: MS in Applied Data Science at Syracuse University || BS in Computer Science and Applied Mathematics at SUNY Albany
Location: Albany, NY
Reads Airline Flight information with struct and prints out information.
As part of my final project for Introduction to Data Science, I was tasked with a group to select any dataset available online and apply machine learning and regression models to it to develop some research notes.
For my final project I used food macronutrient and micronutrient information to predict that calories that a certain food item will be. Preproecssing was done on the dataset and EDA was created. Machine learning models used were linear reegression, random forests, and K-Nearest-Neighbors on continuos variable. Then we split calories into groups using thresholds defined and ran a random forest and a neural network testing for accuracy.
Final project for IST was asked with creating a database for any topic of my choice. I decided to go with creating a football database since I'm very interested in football statistics. All the data was researched and formatted by me.
Project to convert from infix to postfix and postfix to infix notation.
For my final project I read in a dataset of music artists and their song lyrics for 6 different genres of music, and trained and tested machine learning models to predict what genre of music a certain song was based off their lyrics. Challenges of the dataset and alaysis included preprocessing, vectorizing the data, splitting the data, using hldout and cross validation teechniques, and applying Naive Bayes and Support Vector Machines to do analysis. The categorical variable in the dataset was the "genre" field.
For my final project I took in a Kaggle dataset on music data and trained and tested machine learning models to predict what genre of music a certain song file was based off their other attribute values. The categorical variable in the dataset was the "label" field.
Portfolio Milestone for Syracuse Applied Data Science Masters Degree
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.