The following section has only basic details. There are no steps or details implementation details.
I couldn't move to the next steps in the lab.
URL
(https://codelabs.developers.google.com/codelabs/bigquery-data-science-notebooks#4)
Heading & Basic Content
[5. Data Preparation and Feature Engineering]
In this section, you will run through the first important step in any data science project: preparing your data. You start by creating a BigQuery dataset to organize your work and then load the raw real estate / housing data from a CSV file in Cloud Storage into a new table.
Then, you will transform this raw data into a cleaned table with new features. This involves filtering the listings, creating a new property_age feature, and preparing the image data for multimodal analysis.
The following section has only basic details. There are no steps or details implementation details.
I couldn't move to the next steps in the lab.
URL
(https://codelabs.developers.google.com/codelabs/bigquery-data-science-notebooks#4)
Heading & Basic Content
[5. Data Preparation and Feature Engineering]
In this section, you will run through the first important step in any data science project: preparing your data. You start by creating a BigQuery dataset to organize your work and then load the raw real estate / housing data from a CSV file in Cloud Storage into a new table.
Then, you will transform this raw data into a cleaned table with new features. This involves filtering the listings, creating a new property_age feature, and preparing the image data for multimodal analysis.