desipilla Goto Github PK

cafe

Cafe is a dating app that will use machine learning to create a custom experience for each user.

cisc-181-final-coding-project

college-emails

This repository is used to send mass emails to over 1,700 colleges.

desipilla.github.io

Desi Pilla's Portfolio

dsps_dpilla

Data Science for Physical Scientists - UDel 2019 (Course code PHYS467)

espn-api

ESPN Fantasy API! (Football, Basketball)

espn-api-v3

This project aims to make ESPN Fantasy Football statistics easily available. With the introduction of version 3 of the ESPN's API, this structure creates leagues, teams, and player classes that allow for advanced data analytics and the potential for many new features to be added.

fantasy-football-program

This excel file uses Visual Basic for Applications to provide advanced stats for a fantasy football league of varying sizes and roster types. Stats include weekly leaders in categories such as position averages, lineup setting, scoring, etc.

forecasting-new-england-energy

This is the final project for the course Machine Learning for Time Series Analysis (MLSTA 667) at the University of Delaware. The course instructor is Dr. Federica Bianco. The team members associated with this project are Jonathan Clifford, Desiderio Pilla, and Ramiz Qudsi. All are graduate students at UD.

frus-event-exctraction

The project will focus on automated ‘text-as-data’ methods for the extrac- tion of discrete political (cooperative and conflictive) interactions (i.e., “who did what to whom, and where/when”) from a large corpora of political texts. Such extracted events are commonly known as political “event data” in the literature.

hiring2020

Internship status of companies - COVID-19

machinelearning

Introduction to Machine Learning - UDel Fall 2019 (Course Code CISC 684)

mlfun

Various machine learning test cases

mltsa_dpilla

Machine Learning for Time Series Analysis Class

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

phys333-final-project

For my final project in PHYS 333: Fundamentals of Astrophysics, I created an n-body simulator to explore the chaotic effects of having more than two bodies interacting gravitationally.

spotify-analysis

stock-market-model

The goal of this project is to create an algorithm that increases the profit realized by investors. This goal will be acheived by using two models, a Logistic Regression and Neural Network. The data was scraped from the internet for individual stocks. This includes daily price and trading data, as well as earnings data for every quarter since 1995. The scraped data was manipulated to calculate a variety of value- and momentum-based metrics.

twitter-sentiment-analysis

This is the final project for the course Mathematical Techniques in Data Science (MATH 637) at the University of Delaware. The course instructor is Dr. Dominique Guillot. The team members associated with this project are Olivia Mwangi, Desiderio Pilla, and Akshaya Ramesh, who are all students in the Master of Science in Data Science (MSDS) program at UD.

world-finals-simulation

Simulates the performance odds for Odyssey of the Mind World Finals using Python.