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1. Women-Entrepreneurship-and-Labor-Force Women-Entrepreneurship-and-Labor-Force Public

   Observation from the data on women entrepreneurship index and global entrepreneurship index report published in 2015. The research is limited to OECD countries where all data for 2015 are available…

   Jupyter Notebook 1

2. Analyzing-Super-Bowl-Data Analyzing-Super-Bowl-Data Public

   Analysis of Super Bowl game, television, and halftime show data. Blowouts do appear to lead to a drop in viewers. Ad cost increases lagged behind viewership increases.

   Jupyter Notebook

3. More-handwashing-fewer-deaths More-handwashing-fewer-deaths Public

   In this notebook, we're going to reanalyze the data that made Dr. Semmelweis discover the importance of handwashing. Handwashing reduced the proportion of deaths by around 8 percentage points! From…

   Jupyter Notebook

4. Risk-and-Returns-The-Sharpe-Ratio Risk-and-Returns-The-Sharpe-Ratio Public

   Let's learn about the Sharpe ratio by calculating it for the Amazon and Facebook stocks. In 2016, Amazon had a Sharpe ratio twice as high as Facebook, indicating that it generated higher risk-adjus…

   Jupyter Notebook

5. Which-plants-are-better-for-bees-native-or-non-native Which-plants-are-better-for-bees-native-or-non-native Public

   Are native and non-native pollinator friendly plants equally valuable for native wild bee communities?

   Jupyter Notebook

6. Company-Classification-Based-On-Financial-Data Company-Classification-Based-On-Financial-Data Public

   The objective of this project is to develop a model capable of accurately classifying companies into their respective industries based on financial data.

   Jupyter Notebook