https://github.com/nafisalawalidris/python-for-data-science-ai-development-
https://github.com/nafisalawalidris/python-for-data-science-ai-development-
Last synced: 7 months ago
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- Host: GitHub
- URL: https://github.com/nafisalawalidris/python-for-data-science-ai-development-
- Owner: nafisalawalidris
- Created: 2023-04-08T00:04:59.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-04-10T19:57:52.000Z (over 2 years ago)
- Last Synced: 2025-01-23T07:12:15.389Z (9 months ago)
- Language: Jupyter Notebook
- Size: 140 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Python for Data Science AI & Development
## Objectives
After completing this lab you will be able to:
* Perform list operations in Python, including indexing, list manipulation, and copy/clone list.
About the Dataset
Imagine you received album recommendations from your friends and compiled all of the recommandations into a table, with specific information about each album.
The table has one row for each movie and several columns:
- artist - Name of the artist
- album - Name of the album
- released_year - Year the album was released
- length_min_sec - Length of the album (hours,minutes,seconds)
- genre - Genre of the album
- music_recording_sales_millions - Music recording sales (millions in USD) on SONG://DATABASE
- claimed_sales_millions - Album's claimed sales (millions in USD) on SONG://DATABASE
- date_released - Date on which the album was released
- soundtrack - Indicates if the album is the movie soundtrack (Y) or (N)
- rating_of_friends - Indicates the rating from your friends from 1 to 10