Machine Learning: Random Forest with Python from Scratch - Introduction to the Final Project

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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main objective of the final project discussed in the video?
To analyze the Titanic movie
To build a model for predicting weather
To classify the Titanic data set using random forest
To create a new data set from scratch
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the Titanic data set, what does a '1' in the class column signify?
The passenger was a crew member
The passenger did not survive
The passenger was in first class
The passenger survived
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a feature in the Titanic data set?
Passenger age
Passenger's favorite color
Passenger class
Passenger name
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What hypothesis is suggested regarding the survival probability of passengers?
Younger passengers might have a higher survival probability
Older passengers have a higher survival probability
Passengers in third class have the highest survival probability
Passengers with more siblings have a higher survival probability
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of logistic regression in the context of the Titanic data set?
To predict the weather conditions
To determine the survival probability based on features
To classify passengers into different age groups
To calculate the ticket prices
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in the project roadmap?
Data visualization
Model validation
Model deployment
Data preprocessing
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is the Titanic data set considered important in data science?
It contains information about famous people
It is the most recent data set
It is a benchmark data set for learning
It is the largest data set available
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