Category: Python
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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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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.
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Why Do You Write Code? Exploring Different Motivations
People write code for various reasons, depending on their goals, interests, and professions.
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5 Essential Python Libraries for Data Science
If you’re diving into data science with Python, having the right tools in your toolkit is essential. Python’s ecosystem offers […]
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Summary Statistics: the Essential Methods for Describing Data
use descriptive statistics and explore its significance in extracting valuable information from data.
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Predicting the Weight of Fish Using Multiple Linear Regression 🐟
I recently read an article about two men who were caught cheating during a fishing tournament. Being an avid fisherman myself, I […]