Month: October 2024
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From PDF to Data: Extracting Text from Online Documents with Python
Introduction PDF files are a staple in today’s digital world due to their consistent formatting across all devices. They’re commonly […]
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Linear Regression Fundamentals: Simple Linear Model, Part 2
Linear regression is a fundamental statistical technique to understand the relationship between two variables. It works on the principle of fitting a straight line through data points to model the relationship between the independent variable and the dependent variable(s).
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Stripping Strings in Python
Introduction When working with strings in Python, cleaning up unwanted whitespace or characters is often necessary. Whether you’re processing user […]
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Book Review: Practical Statistics for Data Scientists
Bottom Line Up Front Statistics is essential for doing data science, but it is often not readily available or easily […]
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String Manipulation in Python: Basic Operations and Slicing
Real-world data is usually messy, and text data is no exception. String manipulation can help clean up data by removing […]
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The Bias-Variance Trade-Off: Understanding the Balance in Models
What is the Bias-Variance Trade-Off The bias-variance tradeoff is a fundamental concept in machine learning that highlights the balance between […]
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Web Scraping Underwater: Extracting Text from Episodes
Learn how to scrape a website using BeautifulSoup in Python.
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Scraping with BeautifulSoup in Python: A Basic Guide
Basic process of using beautiful soup in python for web scraping.