Basics of Data Science
Preprocessing
Modeling
Libraries
100
What does NDL stand for?
Nittany Data Labs
100
Give one way of dealing with null data
Can vary
100
What's the most common type of regression?
Linear Regression
100
What's the most common Python data manipulation library?
Pandas
200
Name one step in the data science process
Gathering Data, Data modeling, Actionable insights
200
Explain data integration
Combining data from different sources
200
Provide a method to get the coefficients of a linear regression equation
Ordinary least squares, gradient descent
200
What's the main advantage of numpy arrays over lists?
Improved preformance
300
What form of supervised learning is used to predict quantitative variables
Regression
300
What does ETL stand for?
Extract Transfrom Load
300
What advantage does the error function MAE provide over MSE?
More intrepretable
300
What's the most popular traditional ML python library?
Scikit-learn
400
What three things make up data science?
Computer Science, Statistics, Subject Matter Experience
400
What is this an example of? 
Hot One Encoding
400
What is the purpose of the validation split in the train, test, and validation split of data?
Optimize the model
400
What popular data visualization library can be used to create interactive plots?
Plotly
500
Give another application of reinforcement learning
Can vary
500
What is the Standard Scaler Equation?
New Value = (Old Value - Mean) / Std.
500
Explain overfitting
The model gets too used tothe training data, which hurts the testing data results
500
What package does this line of code come from: plt.show()
Matplotlib