Data Viz Interest Group Talk Series: Optimizing University Statistics using Plotly, Sklearn, and Python

Georgia Tech Library

Project name: "Optimizing University Statistics using Plotly, Sklearn, and Python"
Tools used: Jupyter Notebook configured with a Python 3 kernel, Anaconda 3.6+, Plotly API for Python, Numpy, Pandas, Sklearn (it may be easier for me to present on my own laptop)
Brief Description: Presentation will be going through using machine learning algorithms to identify university success based on factors such as starting salaries, ethnic diversity, standardized scores, etc.  The presentation will then go through using Plotly's API in order to visualize and present results.

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Data Viz Interest Group Talk Series: Optimizing University Statistics using Plotly, Sklearn, and Python

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Data Viz Interest Group Talk Series: Optimizing University Statistics using Plotly, Sklearn, and Python

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