Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More NumPy

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Computers
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10th - 12th Grade
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary focus of this course?
Implementing machine learning models
Basics of the Numpy stack for machine learning
Advanced Numpy features
Deep learning techniques
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to learn machine learning algorithms before implementing them with Numpy?
To know what you're implementing
To directly apply Numpy skills
To understand the purpose of Numpy
To skip learning theory
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the solution for the linear regression fitting problem using Numpy?
X plus Y
X transpose times X all inversed times X transpose times Y
Y transpose times X
X times Y
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a deep neural network primarily composed of?
Single layer
Collection of layers stacked on top of one another
Matrix inversion
Linear regression
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the two skill sets required in machine learning?
Visualization and reporting
Programming and debugging
Data collection and analysis
Mechanical implementation and theoretical understanding
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which machine learning model is suitable for customer segmentation?
Deep neural networks
Linear regression
Perceptron
K means clustering
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the common ground between different machine learning models?
Statistical analysis
Numpy operations
Data visualization
Programming languages
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