Reinforcement Learning and Deep RL Python Theory and Projects - Loading the Data

Reinforcement Learning and Deep RL Python Theory and Projects - Loading the Data

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers importing data using pandas, loading it into Google Colab, and preprocessing it by converting date strings to datetime format. It also explains setting the date column as the index of the dataframe. The tutorial prepares the data for further analysis and model training in future videos.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What method is used to import data from a CSV file?

read_sql

read_csv

read_excel

read_json

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which columns are considered most important for the model in the dataset?

All columns are equally important

Volume and date

High and low rates

Opening and closing rates

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step to upload a data file to Google Colab?

Copy the file path

Use the upload button

Click on the folder icon

Drag and drop the file

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you convert a string date to datetime format in a DataFrame?

Using the to_datetime method

Using the strftime method

Using the parse_date function

Using the dateutil module

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does setting 'inplace=True' do when modifying a DataFrame?

Creates a copy of the DataFrame

Modifies the original DataFrame

Deletes the DataFrame

Saves the DataFrame to a file

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