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Hands-on Text Preprocessing in Python Part 1 | Natural Language Processing basics
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📺 In this video, we'll start with the basics, learning about text case conversion. Then, we'll dive into cleaning our data using regular expressions with Python's re module. 🐍
🔤 We'll show you how to eliminate patterns like web addresses starting with http, ensuring your data stays clean and focused on what matters most. We'll also learn how to remove unwanted characters, such as words starting with @ or #, ensuring your text is ready for analysis. 🚫
🔍 Not stopping there, we'll demonstrate how to eliminate multiple patterns in a concise manner, streamlining your data preprocessing workflow. Additionally, we'll cover how to get rid of white space both in between and around words, ensuring your text is neat and tidy for further processing. 🧼
Happy Learning!
🔤 We'll show you how to eliminate patterns like web addresses starting with http, ensuring your data stays clean and focused on what matters most. We'll also learn how to remove unwanted characters, such as words starting with @ or #, ensuring your text is ready for analysis. 🚫
🔍 Not stopping there, we'll demonstrate how to eliminate multiple patterns in a concise manner, streamlining your data preprocessing workflow. Additionally, we'll cover how to get rid of white space both in between and around words, ensuring your text is neat and tidy for further processing. 🧼
Happy Learning!
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