I have experience regarding Data Science with a primary focus on Python, Pandas, Numpy, Matplotlib, Seaborn, Sci-kit Learn, and XGBoost.
I also have experience with Data Analysis and Computer Programming.
Links to my Youtube and my Github page are below.
MoonData21 Github for Data Science Youtube ChannelProject Overview: Creating different model runs for 2025 Fantasy Football PPR Projections. The main objective of this project is create model runs using Sci-kit learn and XGBoost libraries, and check at the end of the season to see which model was the best. The models being utilized are Random Forest Regressor and Cross Validation.
This is a Data Science project determining health grades for the 2025 NFL season based on historical health data and age. There is also a Classification component that answers yes or no if the NFL players will play more than 14 games in 2025.
This is a Data Science project that predicts sold prices for houses that sold in a six month period and attempts to predict sold prices for homes listed on the market as well. Another goal of this project is to determine which homes need repairs and which homes might not be fair marker value solds.