danielortiz0220 Goto Github PK

ai-fall-2020

A Semantic Analyzer using StanfordCoreNLP, Scikit-Learn, VSCode, Pandas, and Amazon reviews that train a model to determine positive or negative sentiment.

airbnb-pt1

AirBnb Pt1 Clone

bank-of-student

Test-driven Bank focused on client-side routing with React Router and dynamic API requests with axios for SITE Interns 2022

databases-sql

A repo to hold databases related coursework/SQL practice work

developers

A repository of all those who attended UPE Code's workshop on Git and GitHub!

doom_ai

A DOOM AI project made in Spring 2020, uses Deep Q-Learning where an agent (Doomslayer) is tasked with learning to eliminate antagonists as efficiently as possible. The MP4 is a demonstration of the finished project.

enlightened-emblems

Repository for Hackabull Hackathon project: Enlightened Emblems, competing for the Monic.ai challenge.

fast_food_feud

React fast food feud project

flixter_daniel

Starter code for my Flixter application!

genai-llm-chatbot

Experimenting from the original fork

giphy_party_website

API practice website with Giphs!

github-workshop-spring-2022

If you see your file here, it means you successfully pushed!

gittest

init-dashboard-example

lifetracker

Lifetracker, a life tracker (hahaha.........)

logistic-regression

A workshop done in Pytorch for Logistic regression

mern-stack-example

Mern Stack code for the Mern Tutorial

netcentriccomputing

Repository for code completed in my Net Centric Computing course

personal-1page-portfolio

personal-smartfolio

A contact sharing website built with Solid.js to maximize performance

react_intro

secret-santa-code

secret-santa-workshop

sf_reportcard_starter

Starter code for CodePath's SITE (summer internship for tech excellence) program.

shellhacks-covid-travel-assistant

A chatbot for travel planning during these troubled times. Built on Dialogflow and BigQuery.

shellhacks2021

Our Latinx in STEM website!

sound-and-light-game

stock-price-prediction-model

Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.

student_store_pt2

starter code for student store part 2, lab exercise

tdd-gift-giver-student-starter

A test-driven lab to teach the essentials of building a Node and Express API application for SITE Interns 2022