Practice - 5 Tasks
Answer the questions below
1fill in blank
easyComplete the code to import the classification model from scikit-learn.
ML Python
from sklearn.[1] import LogisticRegression
Drag options to blanks, or click blank then click option'
Attempts:
3 left
2fill in blank
mediumComplete the code to train the classification model on data X and labels y.
ML Python
model = LogisticRegression()
model.[1](X, y) Drag options to blanks, or click blank then click option'
Attempts:
3 left
3fill in blank
hardFix the error in the code to predict categories for new data points.
ML Python
predictions = model.[1](new_data) Drag options to blanks, or click blank then click option'
Attempts:
3 left
4fill in blank
hardFill both blanks to create a dictionary of word lengths for words longer than 3 letters.
ML Python
lengths = {word: [1] for word in words if len(word) [2] 3} Drag options to blanks, or click blank then click option'
Attempts:
3 left
5fill in blank
hardFill all three blanks to create a dictionary of uppercase words mapped to their counts if count is greater than 0.
ML Python
result = { [1]: [2] for k, v in data.items() if v [3] 0 } Drag options to blanks, or click blank then click option'
Attempts:
3 left