Final-Project-Covid-19's Impact on the NBA & WNBA

Group Members:

Tyler Speck, Matt Debnar, Sarah Grant, Caiti Donovan, Amanda Luna, Dhara Bhansali.

Overview:

• Used the API from sportradar to fetch the data for both NBA & WNBA and cleaned the data using Pandas in jupyter notebook.
  
• Created a website using HTML5/CSS and Bootstrap.
  
• Interactive Visualizations were created using D3, Plotly, Matplotlib and Tableau.
  
• Data was trained using Linear Regression and built Machine Learning model using nearly complete season statistics for the NBA & WNBA to determine probability of a "win."
  

Webiste:

Our project has been deloyed here: Final Project Website

Award:

• Group Project awarded as “Most Potential For Impact” by Columbia Engineering;
  
• Presented as CU’s Demo Day 2020.
  

Tech Environment Used:

Python, Pandas, JavaScript, VSCode, HTML, CSS, Bootstrap, D3, Plotly, API,Tableau, Matplotlib, Machine Learning, Tensorflow, keras, Jupyter Notebook, GitHub, Zoom, Slack.