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Learn Challenge 3 | Moving on to Tasks
Data Preprocessing

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Challenge 3

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The last task we have prepared for you is the implementation of feature engineering. You will be working with the 'sales_data.csv' dataset, and your task will be to create new variables and process categorical and numeric data.

  1. Use feature engineering to create new columns such as year, month, and day of the week Date
  2. Encode the 'Region' and 'Product; categorical columns with the ohe-hot encoding method
  3. For numeric data ('Sales'), you will need to scale the data

Solution

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SectionΒ 6. ChapterΒ 3

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book
Challenge 3

Task

Swipe to start coding

The last task we have prepared for you is the implementation of feature engineering. You will be working with the 'sales_data.csv' dataset, and your task will be to create new variables and process categorical and numeric data.

  1. Use feature engineering to create new columns such as year, month, and day of the week Date
  2. Encode the 'Region' and 'Product; categorical columns with the ohe-hot encoding method
  3. For numeric data ('Sales'), you will need to scale the data

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 6. ChapterΒ 3
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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