Definitions
Syntax
Scikit Learn
Python Libraries
Miscellaneous
100
The hierarchy of AI and Machine Learning
What is ML is a type of AI?
100
Declaring and instantiating a Naive Bayes classifier for multiple lables
What is nb= MultinomialNB()
100
Location of demonstrations on the scikit learn website
What is the Examples section?
100
Where DataFrame comes from
What is pandas?
100
Classification algorithm that uses the "best split"
What is the Decision Tree Classifier?
200
A type of ML where we are given data as an input and attempt to output the correct label
What is supervised learning?
200
Fitting your data to a classifier
What is
CLASSIFIER NAME.fit(x_train, y_train)
200
Scikit learn datasets we imported and utilized
What are the iris and breast cancer datasets?
200
How we worked with arrays
What is numPy?
200
Datasets can lack representation and reflect ___
What is human bias?
300
When the lable is a specific class
What is classification?
300
Splitting data into train and test sets
What is train_test_split(x, y, test_size=??, random_state=??)?
300
Where you can find everything from the scikit learn package?
What is the API?
300
How we plotted the confusion matrices
What is matplotlib?
300
What makes up the f1 score
What are precision and recall?
400
When the label is a real number
What is regression?
400
Order of outputs when splitting up train and test sets
What are x_train, x_test, y_train, y_test?
400
Importing scikit learn in python
What is import sklearn?
400
How we plotted the decision tree
What is graphviz?
400
A confusion matrix that has pretty colors is called a ___
What is a heatmap?
500
Uses probability to determine how likely an example belongs to a class, with an independence assumption
What is Naive Bayes Classification?
500
How to import the f1 score from scikit learn
What is from sklearn.metrics import f1_score?
500
How we got pretty colors on the confusion matrices
What is seaborn?
500
Bayes Theorem
What is the probability of B given that A = the probability of A given that B * the probability of B / the probability of A?
