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Python physics: Create a linear regression function using VPython

Python Physics: Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results ...
marktechpost

A Coding Implementation of a Complete Hierarchical Bayesian Regression Workflow in NumPyro Using JAX-Powered Inference and Posterior Predictive Analysis

In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...
Scientific Research Publishing

Rahimloo, P. and Jafarian, A. (2016) Prediction of Diabetes by Using Artificial Neural Network, Logistic Regression Statistical Model and Combination of Them.

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
GitHub

Enhancement: Implement Yield Prediction using ANN (Deep Learning) with Kaggle Dataset

The current project uses a Random Forest model for yield prediction. While this works, we can also implement the task using a Deep Learning Artificial Neural Network (ANN) for potentially better ...
ascopubs.org

Development and implementation of a home bortezomib injection program in the US (Ann Arbor VA Close to Me).

Modernizing clinical trial accessibility: Integrating the AI-powered LookUpTrials app into the CTN program. Nursing Lack of a protocol for home administration of bortezomib Educational materials, ...
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Linear Regression In Python From Scratch | Simply Explained

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
IEEE

Design and Implementation of IoT-Based Automatic Power Factor Correction Relay Using Raspberry Pi

Abstract: This paper illustrates the design and implementation of an IOT -based automatic power factor correction (APFC) relay using Raspberry Pi in electrical power distribution systems. Power ...
Frontiers

Tunnel water inflow prediction using explainable machine learning and augmented partially missing dataset

Tunnels constitute a prevalent form of underground infrastructure, the construction of which entails a multitude of risks and challenges (Kim J. et al., 2022; Liu et al., 2022). Tunnel water inflow ...
Forbes

From Hype To Implementation: How Marketers Are Really Using AI

Paul Deraval, Cofounder & CEO of NinjaCat, is a software veteran with 20+ years driving innovation in martech, AI and agency growth. Enterprise AI has evolved from a tool for innovation to a core ...
GitHub

A scikit-learn compatible implementation of the Adaptive Lasso algorithm for feature selection and regression.

Adaptive Lasso is an extension of the standard Lasso method that provides improved feature selection properties through weighted L1 penalties. It assigns different weights to different coefficients in ...
Frontiers

Development of ann-based data-driven ground motion model for Azerbaijan using temporal earthquake records of 2022–2024

1 Institute of Geology and Geophysics, Ministry of Science and Education, Baku, Azerbaijan 2 School of Mining and Geosciences, Nazarbayev University, Astana, Kazakhstan In recent years, seismological ...