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crypto-portfolio-optimization-and-risk-analysis

Goal: Create a machine learning-driven portfolio optimization system for cryptocurrencies, dynamically adjusting allocations to maximize returns and minimize risks based on predictive analytics.

ethanfalcao

ethanfalcao.github.io

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fifa_world_cup_machine_learning

This project utilizes machine learning algorithms to predict the winner of the FIFA World Cup based on historical team performance and various features."

graphminingmqp_eda

Exploratory data analysis for the repos used in Graph Mining MQP being run by Professor Murai and Professor Zou

kinematics-calculator

The Kinematics Calculator is an open-source calculator on GitHub that quickly solves for the missing parameter in kinematics equations based on user-provided inputs of time, distance, initial velocity, and final velocity.

nba-optimized-team

Uses Linear Programming to construct the most optimal NBA team for the '22-'23 season, maximizing the Player Efficiency Rating (PER) while adhering to salary cap restrictions and position requirements.

optimizing-options-models-crypto

Objective: Develop and adapt traditional options pricing models to suit the unique characteristics of the cryptocurrency market in the OTC market

pages-test

this is a guide to create github pages

sentiment-analysis-in-financial-markets

Analyze news articles, financial reports to gauge market sentiment. This project would involve natural language processing (NLP) techniques to understand how sentiment affects stock prices.

spotify_artist_stats

Goal: Display all the publicy available data, regarding any spotify artist

spotify_reccommendation_algorithm

Developed a playlist recommendation algorithm using extracted song data obtained from the Spotify API. Utilized both random forest algorithms and cosine similarity to create personalized playlist recommendations based on user-input playlist.

wpi-ia-portfolio-optimization-and-risk-analysis

The goal of this project is to develop a robust system that can forecast future Dow - 30 price movements and optimize portfolio allocations accordingly.

yelp-dataset-challenge-analysis-and-prediction

Our project analyzed the Yelp dataset to predict business attributes and detect fake reviews using machine learning.