IEEE

The Dual-Focus Dynamic Multiple Imputation Approach For MNAR Missing Values In Medical Data

Abstract: Missing value imputation in medical datasets is an important research topic. Most studies assume that missing values are Missing at Random (MAR), but verifying whether data are MAR or ...
IEEE

Leveraging Machine Learning Methods for Multiple Disease Prediction using Python ML Libraries and Flask API

Abstract: Disease prediction has become one of the most sophisticated problems in the Machine Learning field in Computer Science. Almost all of the existing machines learning models are fixated on ...
GitHub

Kalman and Bayesian Filters in Python

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...
GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
Investopedia

Times-Revenue Method: Calculating Company Value From Revenue

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...