Data Science and Machine Learning (Theory and Projects) A to Z - Scikit-Learn for Machine Learning: Scikit-Learn - Trend

Data Science and Machine Learning (Theory and Projects) A to Z - Scikit-Learn for Machine Learning: Scikit-Learn - Trend

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

Created by

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The video tutorial covers the use of Python libraries like Matplotlib, pandas, and Numpy to analyze COVID-19 data. It demonstrates data import, preprocessing, and visualization techniques to explore trends in confirmed, recovered, and death cases across 171 countries. The tutorial also discusses global trends and suggests further learning in data science using libraries like scikit-learn, TensorFlow, and PyTorch.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which Python library is primarily used for creating plots in the tutorial?

Bokeh

Plotly

Matplotlib

Seaborn

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using the 'group by' command in data preprocessing?

To sort the data alphabetically

To filter out missing values

To aggregate data based on a specific column

To convert data types

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which strategy is used for imputing missing values in the dataset?

Mean strategy

Constant strategy

Median strategy

Random strategy

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of using the 'unique' function on the country column?

To count the total number of countries

To sort countries alphabetically

To find the most common country

To list all countries without repetition

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of plot is used to visualize the trends of confirmed, recovered, and death cases for each country?

Line plot

Bar chart

Scatter plot

Pie chart

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many countries' data trends are visualized in the tutorial?

100

171

150

200

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main benefit of visualizing data trends as mentioned in the tutorial?

It makes the data look colorful

It helps in understanding data insights

It reduces the size of the data file

It increases the speed of data processing

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