A Practical Approach to Timeseries Forecasting Using Python - Data Analysis

Interactive Video
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Computers
•
10th - 12th Grade
•
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 the project discussed in the video?
Developing a new software application
Building a new consumer electronics device
Analyzing Microsoft stock data using deep learning
Creating a marketing strategy for Microsoft
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library is used for numerical computations in the project?
scikit-learn
numpy
pandas
matplotlib
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the file format of the dataset used in the project?
TXT
CSV
JSON
XML
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many columns are present in the Microsoft stock dataset?
5
8
6
7
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the data type of the 'Volume' column in the dataset?
Integer
Boolean
String
Float
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which function is used to check for null values in the dataset?
df.describe()
df.isnull().any()
df.head()
df.tail()
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What statistical measure is NOT mentioned in the data analysis section?
Mean
Median
Standard Deviation
Correlation
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