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Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...
IEEE

Prediction of Employee Attrition Classification and Retention Strategies Using Gradient Boosting with Binary Logistic Regression

Abstract: A voluntary or involuntary parting of an employee from an organization is known as and the strategies to maintain an employee are known as Employee attrition (turnover) and retention.
GitHub

Agentic Document Extraction – Python Library

Note The agentic-doc Python library is now legacy. Please migrate to the new landingai-ade library, which is now the official Python library for Agentic Document Extraction and supports our newer API ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
IEEE

Development of Deep Learning Methods for Visual Document Classification Using Hybrid Vision Transformer–EfficientNet Architecture

Abstract: The rapid expansion of digital archives and scanned document collections has underscored the importance of reliable and efficient document classification techniques. Traditional methods that ...

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
GitHub

Airbyte Python CDK and Low-Code CDK

Airbyte Python CDK is a framework for building Airbyte API Source Connectors. It provides a set of classes and helpers that make it easy to build a connector against an HTTP API (REST, GraphQL, etc), ...