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Twitterhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html
This dataset has gained popularity over time and is widely known. While Kaggle courses teach how to use Google BigQuery to extract a sample from it, this notebook provides a HOW-TO guide to access the dataset directly within your own notebook. Instead of uploading the entire dataset here, which is quite large, I offer several alternatives to work with a smaller portion of it. My main focus was to demonstrate various techniques to make the dataset more manageable on your own laptop, ensuring smoother operations. Additionally, I've included some interesting insights on basic descriptive statistics and even a modeling example, which can be further explored based on your preferences. I intend to revisit and refine it in the near future to enhance its rigor. Meanwhile, I welcome any suggestions to improve the notebook!
Here are the columns that I have chosen to include (after carefully eliminating a few others):
Feel free to explore the notebook and provide any suggestions for improvement. Your feedback is highly appreciated!
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Facebook
Twitterhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html
This dataset has gained popularity over time and is widely known. While Kaggle courses teach how to use Google BigQuery to extract a sample from it, this notebook provides a HOW-TO guide to access the dataset directly within your own notebook. Instead of uploading the entire dataset here, which is quite large, I offer several alternatives to work with a smaller portion of it. My main focus was to demonstrate various techniques to make the dataset more manageable on your own laptop, ensuring smoother operations. Additionally, I've included some interesting insights on basic descriptive statistics and even a modeling example, which can be further explored based on your preferences. I intend to revisit and refine it in the near future to enhance its rigor. Meanwhile, I welcome any suggestions to improve the notebook!
Here are the columns that I have chosen to include (after carefully eliminating a few others):
Feel free to explore the notebook and provide any suggestions for improvement. Your feedback is highly appreciated!