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

Quizizz 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.

Read more

4 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What data set is used in the tutorial, and what does it contain?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps are taken to exclude unnecessary rows from the data set?

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

How do you load an Excel sheet using pandas in Jupyter Notebook?

Evaluate responses using AI:

OFF

4.

OPEN ENDED QUESTION

3 mins • 1 pt

What command is used to read the data into a DataFrame?

Evaluate responses using AI:

OFF