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 ...
GitHub

Stock-Price-Prediction-with-Multiple-Linear-Regression

Dataset: Replace 'au-bank.csv' with the path to your dataset. Outputs: Plots are saved as actual_vs_predicted.png and feature_importance.png. Multicollinearity: The final feature set (open, 52w_high, ...
Hosted on MSN

Multiple Linear Regression in Python from Scratch ¦ Explained Simply

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...
GitHub

diogobrasil/python-regression-multi

📅 Submissão Prazo:04 / 05 / 2025 (23h59 BRT) Enviar somente o link do repositório Git no SIGAA. Commits devem refletir participação individual; integrantes sem contribuições significativas serão ...
IEEE

Scalable Multi-View Regression Clustering for Large-Scale Data

Abstract: In recent years, unsupervised linear regression has attracted attention for its ability to directly capture the mapping relationship between samples and targets. However, existing algorithms ...
eWeek

What is Linear Regression? A Comprehensive Guide

Linear regression may be the most basic and accessible machine learning (ML) algorithm, but it’s also one of the fastest and most powerful. As a result, professionals in business, science, and ...