Project folder for all my Jupyter Notebooks and NBA data.
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Updated
Dec 15, 2023 - Jupyter Notebook
Project folder for all my Jupyter Notebooks and NBA data.
Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.
Jupyter Notebooks with Applications of Data Science and Analysis with NBA data, using the information available through the NBA Stats API.
This is the notebook of our final project for CMSC320: Introduction to Data Science. In this project, we explore Hall of Famers in the NBA.
Predicting the 2021-2022 NBA MVP voting race using regression models. Used different Data Science tools such as matplotlib,pandas and sklearn to gather and process data along with model building. Juypter Notebook is used to present and provide commentary on the model and the process taken to get prediction data/
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