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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Understanding Hedonic Regression in Pricing Models

Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...
IEEE

Predictive thermal management systems for lithium ion batteries using linear regression for enhanced efficiency and longevity

Abstract: The demand for efficient thermal management systems of lithium-ion batteries is increasing with the proliferation of battery-powered devices and electric vehicles. A predictive thermal ...
GitHub

Linear Regression Practice Using Python

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...
Scientific Research Publishing

Laerd Statistics (2018). Linear Regression Analysis Using SPSS Statistics.

ABSTRACT: The role of effective procurement management in enhancing project performance is crucial, particularly within the context of Lusaka Water and Sanitation Company (LWSC). Despite the ...
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Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
IEEE

Diabetes Prediction using Logistic Regression and Support Vector Machine (SVM) Classifier

Abstract: Early detection and diagnosis of diabetes are crucial for managing and treating the disease effectively. Diabetes is a chronic condition characterized by the body’s inability to produce ...