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Discuss the importance of data : Importing Data in Python
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This video tutorial covers the process of importing data into Python using popular libraries like NumPy, Pandas, Seaborn, and Matplotlib. It explains how to execute cells in a Jupyter notebook and demonstrates importing CSV data into a Pandas dataframe. The tutorial also shows how to view and summarize data, handle missing values, and understand data types, including converting categorical variables into numerical dummy variables.
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