Category: Data Science
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Chain of Thought Prompting: Unlocking Better AI Responses
When artificial intelligence tackles complex problems, the quality of its reasoning matters as much as the final answer. This is […]
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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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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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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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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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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 […]
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Mastering the Data Science Process: An Introduction
Table of contents What is data science? Definition The general data science lifecycle CRISP-DM Benefits, weaknesses, and recommendations Benefits Weaknesses […]