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

Hard

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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.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of importing the data in the context of the video?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the structure of the GME data mentioned in the video.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps are taken to handle missing dates in the dataset?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how the date field is converted to a datetime format.

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What does setting 'inplace' to true mean when changing the index of the dataframe?

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