- Y’all Still Mansplaining? Really?
- Chain of Thought Prompting: Unlocking Better AI Responses
- Why I Hate Boston Consulting Group (BCG): A Cautionary Tale
- From PDF to Data: Extracting Text from Online Documents with Python
- Linear Regression Fundamentals: Simple Linear Model, Part 2
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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. Pythonโs ecosystem offers […]
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Linear Regression Fundamentals: Bridging Theory and Practice, Part 1
Linear regression is a fundamental statistical technique to understand the relationship between two continuous variables. It works on the principle […]
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Predictive Potential: Data Science and Digital Twins
In the ever-evolving landscape of data science, a transformative innovation has emerged, promising -paradigm shift in how we perceive, analyze, […]
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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 ๐
I recently read an article about two men who were caught cheating during a fishing tournament. Being an avid fisherman myself, I […]
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Exploring the Power of the Law of Large Numbers
What is it the Law of Large Numbers? In probability theory and statistics, the law of large numbers is a […]
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Mastering & Customizing Venn Diagrams in Python
A Venn diagram shows all possible logical relationships between a finite collection of different sets. Thankfully, creating Venn diagrams in […]
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Set Theory: Understanding the Basics
Definition What is a set? One may think of a set as a collection of objects. These objects can be […]