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classifying-flight-delays

Built a XGBoost model that will classify whether your flight will be delayed or not based on flight information and weather data.

cortanaintelligencesuiteworkshopmanual

This repo contains the workshop manual for the Microsoft Cortana Intelligence Suite End-to-End Workshop.

die-hard-christmas

Using the Twitter API, performed sentiment analysis on whether people think Die Hard is a Christmas movie or not.

doggoganger

Created a Flask app that will predict what dog breed a human or dog most resembles using a Convolutional Neural Network and OpenCV. User then has the option to be redirected to PetFinder.com to see whether that dog is available for adoption. When fed a dog's photo, achieved 86% accuracy of predicting the correct breed.

dsp

Metis Data Science Bootcamp - Official Prework Repository

great-nlp-bake-off

Used Natural Language Processing to analyze sentiment, speaker, and topic trends over the first 4 seasons of Great British Bake Off on Netflix

hopper-puzzle

Performed exploratory data analysis to determine the data provided in the Hopper Data Science Job Description

iterm2-color-schemes

Over 200 terminal color schemes/themes for iTerm/iTerm2 (with ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, and MobaXterm)

la-vs-sf-food-diversity

Using the Yelp API and the USA Today Diversity Index, analyzed whether Los Angeles or San Francisco has a more diverse food scene.

predicting_billboard_charts_ranking

Using Linear Regression, built a model to predict a song's highest rank on the Billboard top 100 chart based on Spotify API song audio features and data scraped from Billboard's website

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

yelp-fusion

Yelp Fusion API