Tag: 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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Why I Hate Boston Consulting Group (BCG): A Cautionary Tale
This queef comes from an anonymous source who previously had a personal experience working with BCG. Note: a queef 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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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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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 🐟
I recently read an article about two men who were caught cheating during a fishing tournament. Being an avid fisherman myself, I […]