Welcome to Midas experiment!

You can find the consent form under the title consent.pdf in this directory.

Skills: you should know how to do data analysis, and basic modeling/"machine learning". Specifically, you should already be familiar with dataframes (e.g., pandas), know how to read basic visualizations (e.g., bar chart, scatter plot), and know how to build a classification algorithm (e.g., LogisticRegression from sklearn.linear_model).

Technical: you should have Python 3.7, Jupyter, and Chrome installed on your computer.

There will be no setup if you are participating with Yifan for the study---a link to a cloud hosted Jupyter notebook instance will be sent to you.

If you are trying this out your self, make sure that you have midas installed.

• The dataset fires.csv is sampled from this kaggle data set.
• The dataset berkeley_faculty.csv is taken from the Daily Cal.
• The dataset recent_grads.csv is taken from fivethirtyeight.
• The loans dataset is referenced from kaggle.
• The cars dataset is referenced from kaggle.