A Practical Approach to Timeseries Forecasting Using Python
 - Dependencies Installation and Dataset Overview

A Practical Approach to Timeseries Forecasting Using Python - Dependencies Installation and Dataset Overview

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

Created by

Wayground Content

FREE Resource

The video tutorial guides viewers through setting up a Jupyter Notebook environment using Anaconda, installing necessary libraries like numpy, pandas, and matplotlib, and performing basic operations within Jupyter Notebook. It also covers importing libraries and loading a Canadian Immigration dataset, demonstrating how to clean and prepare the data for analysis.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in setting up the environment for running Jupyter Notebook?

Open a Jupyter Notebook

Open an Anaconda prompt and activate the environment

Download the dataset

Install Python

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which command is used to activate the environment named 'SAD'?

conda activate SAD

activate SAD

SAD activate

conda start SAD

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you open a new Python 3 notebook in Jupyter?

Click on 'New' and then 'Python 3'

Select 'Open' and choose 'Python 3'

Click on 'File' and then 'New Notebook'

Go to 'Settings' and click 'New Python 3 Notebook'

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a 'cell' in Jupyter Notebook?

A type of data visualization

A section of code that can be executed

A file containing Python code

A command to restart the kernel

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which action can be performed by clicking 'D' twice in Jupyter Notebook?

Duplicate a cell

Download the notebook

Delete a cell

Display the cell output

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the 'PLT' object in matplotlib?

To manage data frames

To plot graphs

To import datasets

To execute Python scripts

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which library is used for data manipulation in the Jupyter Notebook?

pandas

matplotlib

seaborn

numpy

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