Machine Learning: Random Forest with Python from Scratch - Importing Data, Helper Functions
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Information Technology (IT), Architecture, Social Studies
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University
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Practice Problem
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What library is used to import the dataset in the tutorial?
NumPy
Pandas
Matplotlib
SciPy
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to shuffle the dataset before processing?
To increase the size of the dataset
To ensure the data is in chronological order
To prevent bias by randomizing the order of data
To make the dataset easier to read
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What method is used to shuffle the dataframe?
sort
groupby
sample
merge
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many records are used for training in the dataset?
800
891
1000
91
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of splitting the data into training and testing sets?
To reduce the size of the dataset
To evaluate the model's performance
To increase the dataset's complexity
To simplify data visualization
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the 'unique values' function return?
A list of all values
A set of unique values
A dictionary of counts
A sorted list of values
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What data structure is used to store the count of classes?
Set
Dictionary
Tuple
List
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