GitHub

Pull requests: zabiAzimy/linear_regression_python

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
Hosted on MSN

How to Validate Your Data With Statistical Tests in Python

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

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 ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
IEEE

Spreading Code Estimation Using Inherent Linear Relation in Non-Cooperative Contexts

Abstract: In non-cooperative contexts, estimating the parameters of spreading code generated from linear feedback shift registers (LFSRs) is essential for recovering messages from received direct ...
GitHub

A Python-based AI agent that replicates Cursor's coding assistant capabilities, enabling function calling, code generation, and intelligent coding assistance with Claude ...

read_file: Read file contents with flexible line range control edit_file: Make precise edits to files with clear instructions Supports complete file replacement ...
IEEE

FedFit: Server Aggregation Through Linear Regression in Federated Learning

Abstract: We present a conceptually novel framework for Federated Learning (FL) called FedFit for a flexible solver to address FL problems. The FedFit framework consists of two components: model ...