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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

Diabetes Prediction using Logistic Regression and Support Vector Machine (SVM) Classifier

Abstract: Early detection and diagnosis of diabetes are crucial for managing and treating the disease effectively. Diabetes is a chronic condition characterized by the body’s inability to produce ...
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 ...

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), ...
The New York Times

Why Does A.I. Write Like … That?

If only they were robotic! Instead, chatbots have developed a distinctive — and grating — voice. Credit...Illustration by Giacomo Gambineri Supported by By Sam Kriss In the quiet hum of our digital ...