Machine Learning project that predicts whether a company's stock will go up or down based on tweet sentiment analysis

Contains sample implementations in python of the following numerical methods: Euler's Method, Midpoint Euler's Method, Runge Kuttta Method of Order 4, and Composite Simpson's Rule

A client and server model written in C/C++. The server hosts multiple concurrent clients. The clients can choose to message everyone in the chat or direct message certain users.

Implementation of the classic game 'Pong' in C/C++. The game is played over a network, all that is needed is the binary 'netpong' on each machine

The Apriori algorithm detects frequent subsets given a dataset of association rules. This Python 3 implementation reads from a csv of association rules and runs the Apriori algorithm

Utilizing root-finding methods such as Bisection Method, Fixed-Point Method, Secant Method, and Newton's Method to solve for the roots of functions

Python 3 implementation of decision trees using the ID3 and C4.5 algorithms. ID3 uses Information Gain as the splitting criteria and C4.5 uses Gain Ratio

Uses C sockets to create a simple file transfer protocol (ftp) server and client

Creates a Convolutional Neural Net that recognizes the genre of music by analyzing slices of a song's spectrogram

Simple implementation of working flask app with a database. Utilizes docker for each microservice