Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Data Preparation

The video tutorial guides viewers through setting up a Colab notebook for time series analysis using Prophet. It covers installing necessary libraries, downloading and exploring a dataset from Kaggle, and cleaning the data by focusing on sales when the store is open. The tutorial also explains how to prepare and format the data for modeling with Prophet, including setting the date as an index and ensuring the data is in chronological order.

What is the first step in the notebook for profit analysis?

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Describe the data source used for the sales analysis.

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What columns are included in the dataset for the store sales?

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How does the analysis handle days when the store is closed?

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What is the significance of converting the date column into date time format?

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Explain the process of renaming the columns for the profit analysis.

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What is the final step mentioned before continuing the notebook in the next lecture?

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