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3d_image_renderer

artificial_intelligence_penguin_game

Intelligence agents built using Python, collaborative methods of writing code, and reverse engineering to compete against other agents in environments which changed throughout the duration of the game.

bank-client-side

Chain Bucks is a virtual crypto bank where you can take care of all of your banking needs.

bank-server-side

Chain Bucks is a virtual crypto bank where you can take care of all of your banking needs.

big_data

Homework assignments from the course, Big Data. Topics covered include: data warehousing, linear regression, NLP, KMeans, TF-IDF, PCA, decision trees, data cleaning, and recommendation systems - UBCF and IBCF. The assingments were completed with the following tools: R, RStudio, DataGrip, MySQL, and R libraries such as ggplot2, recommenderlab, quanteda, rpart, lubridate, RMySQL, and sqldf.

csharp.netproject

Vacation booking system created with C# and WPF. Users can make vacation reservations at a wide variety of locations, hotel owners can manage the reservations, and the system's admin can see statistics of all the reservations made.

data_mining

Homework assignments from the course, Data Mining. Topics covered include: data warehousing, Apriori - market basket analysis, decision trees, supervised learning algorithms, and unsupervised learning algorithms.

dotnet5780_01_3958_6619

dotnet_5780_02_3958_6619

dotnet_5780_03_3958_6619

encourage-bot-js

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

gps_app

instagramclone

neural_networks_and_deep_learning

Homework assignments from the course, Neural Networks and Deep Learning. Topics covered include: linear regression, logistic regression, CNN, and reinforcement learning. The assignments were completed using Python, Google Colab, Pycharm, pandas, numpy, matplotlib, Keras, and Tensorflow.

plsql_database_systems_project

Hospital database created with PL/SQL. Data was added to the database using Excel, text files, and the data generator. Advanced queries, functions, and programs were written in PL/SQL to analyze the data.

retailroundup

Shopping cart analysis built with C# and WPF. Users can look at previous orders and create new ones, get recommendations for what to buy next, Analyze their past shopping trips with graphs and the Apriori algorithm, and look at the product catalog.

sparkle

Parking issues are common throughout the entire world. In the United States alone the estimated damages for time wasted finding a parking space is billions of dollars and that is without including gas costs or air pollution. Today there are a few solutions to this problem, but they require expensive hardware and therefore cannot be implemented everywhere. To solve this problem, we created deep learning models to differentiate between empty and occupied parking spaces, without using a lot of hardware – only one camera is needed.

twitter_clone