Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Intuit on MSN

6 steps to train an AI model to do whatever you want

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
Geeky Gadgets

How to Fine Tune your own LLM using LoRA (on a Custom dataset)

Imagine unlocking the full potential of a massive language model, tailoring it to your unique needs without breaking the bank or requiring a supercomputer. Sounds impossible? It’s not. Thanks to ...
Scientific Research Publishing

Muralidhara, C.K.B. (2024) Interpretability of Classification & Regression Ensemble Models.

ABSTRACT: Elderly individuals undergoing long-term neuroleptic therapy are increasingly vulnerable to cognitive decline, a condition that significantly impairs quality of life and increases healthcare ...
Scientific Research Publishing

Ordinal Logistic Regression Model in Determining Factors Associated with Household Food Insecurity in Namibia ()

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...
Hosted on MSN

Build Logistic Regression From Scratch In Python – You Won'T Believe How Easy It Is!

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you understand ...
Frontiers

Risk factors associated with severe progression of Parkinson’s disease: random forest and logistic regression models

1 Department of Neurology, Hubei No. 3 People’s Hospital of Jianghan University, Wuhan, China 2 Support Centre, Hubei No. 3 People’s Hospital of Jianghan University, Wuhan, China Background and aim: ...
IEEE

Hyperparameter Tuning for Identifying Tree Seedling Mortality Using Logistic Regression on Environmental and Factors

Abstract: Tree-seedling mortality is a significant challenge in forest management and agricultural practices, particularly in areas affected by climate change. The primary causes of seedling mortality ...
IEEE

Variable Selection in High-Dimensional Logistic Regression Models Using a Whitening Approach

Abstract: In bioinformatics, the rapid development of sequencing technology has enabled us to collect an increasing amount of omics data. Classification based on omics data is one of the central ...