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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 ...
IEEE

Developing a Logistic Regression Model for Predicting Chronic Kidney Disease

Abstract: This study presents an optimized Logistic Regression-based predictive model for early detection of Chronic Kidney Disease (CKD) using clinical and demographic data. The framework integrates ...
GitHub

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction

CodeI/O is a novel approach that transforms code-based reasoning patterns into natural language formats to enhance Large Language Models' reasoning capabilities. Unlike traditional methods focusing on ...
GitHub

nvmath-python: NVIDIA Math Libraries for the Python Ecosystem

nvmath-python brings the power of the NVIDIA math libraries to the Python ecosystem. The package aims to provide intuitive pythonic APIs that provide users full access to all the features offered by ...
IEEE

SRepair: Symbolic Regression-Based Repair for Hardware Design Code

Abstract: Fixing bugs in hardware design code has become a challenging task due to the increasing complexity of modern circuit designs. As a result, automated program repair techniques have been ...