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Image by Olga Thelavart
Image by Olga Thelavart

Linear Regression

Linear Regression is one of the most widely used and powerful techniques in data science. It’s a statistical method that enables us to make predictions based on a relationship between a dependent variable and one or more independent variables. 

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Determining the Number of Epochs

“Epochs are the frames that shape the story of a neural network. Each epoch unfolds like a scene, revealing the hidden layers and connections. And just like in a movie, the power lies in the culmination of these epochs, where the model’s performance reaches its climax, leaving us in awe of the intelligence it has acquired.”

Image by Anne Nygård

Confusion Matrix

A confusion matrix is a tabular representation that presents a comprehensive breakdown of the model’s predictions and the actual ground truth values. It provides a clear visualization of the four fundamental outcomes: true positives, true negatives, false positives, and false negatives. 

Image by Pablo García Saldaña

SQL Basics

"Unlock the Power of Data: Why SQL is Ultimate Key!" Do you know what SQL stands for? Structured Query Language. It may sound complicated, but it's actually just a language used to communicate with databases.

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Entity Relationship Diagram

“Alright, Avengers, listen up! ER diagrams are like our superhero database blueprints. Imagine Iron Man suits as entities, with unique attributes like repulson power and flight capabilities. Relationships are like War Machine joining the team, forming a powerful one-to-many alliance. "

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Image by Shubham Dhage

Pitfalls in Hypothesis Testing

Hypothesis testing is a fundamental concept in statistics that allows us to draw conclusions about populations based on sample data. It provides a structured framework for making informed decisions, validating assumptions, and assessing the significance of observed effects. 

Image by Scott Rodgerson
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