Data Science and Machine Learning (Theory and Projects) A to Z - Data Preparation and Preprocessing: Handling Text Data

The video introduces text data and discusses encoding schemes, focusing on one hot encoding. It explores student data attributes and how to predict grades using regression models. The process of converting text attributes to numeric form is explained, with a detailed look at one hot encoding. The video concludes with a practical application of these concepts in a Jupyter Notebook.

How can you determine which attributes to keep or drop when preparing data for analysis?

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Describe the process of coding countries as numeric values in a dataset.

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What is the curse of dimensionality and how does it relate to one hot encoding?

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