Greg Glesener's Projects
Analysis of Seattle neighborhood venues
Using R to predict housing prices in California
Natural Language Processing project on Jack London's "Call of the Wild" novel.
Collection of completed coding challenges performed in JavaScript, Python and C#
Collection of Data Science concepts that I have practiced learning since finishing The Tech Academy's Bootcamp.
This is the remote repository for the academy devs
Research Papers related to economics.
Analysis of the historical federal funds rate since 1955.
Using Naive Bayes to perform sentiment analysis on company feedback.
ReadME for my github profile page :)
Using deep neural networks to forecast macroeconomic variables
Learning the MERN stack through LinkedIn Learning.
Collection of tutorials from Microsoft docs I completed while learning ML.NET
Determining the chance of a successful climb up Mt. Rainier using weather and route data. Trying to determine success rate 3 months out and create interactive dashboard.
Final VCS Drill.
My personal website
AirBnB and BikeShare query challenges performed while learning PostgreSQL
Predicting bike rental bike demand using ML.NET and displaying results using a Blazor webpage.
Performing Sentiment Analysis using Django + RESTFul API
Web scraping data using beautiful soup and yahoo. Then we will create some features and labels that will try to help us accurately predict future stock prices.
In-depth practice of Supervised Learning methods.
This is a temporary python repository for my TTA python projects.
Assignments and projects from The Tech Academy's Data Science course
Predicting the survival rate from the Kaggle Titanic dataset
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent