AI Tools & Frameworks Directory

An 85% accurate AI agent fails 4 out of 5 times on a 10-step task. Learn the compound probability math behind production failures (and the 4-check pre-deployment framework to fix it). The post The Math That’s Killing Your AI Agent appeared first on Towards Data Science.

Handling outliers and missing values in borrower data using Python. The post Building Robust Credit Scoring Models (Part 3) appeared first on Towards Data Science.

For different learning styles, career goals, and comfort with tools, finding the right data analyst course is HARD. Some people start with Excel. Others into Python. With no clear roadmap ahead, it’s hard to find a single starting point. Some want job-ready certifications, while others just want han...

These five Python decorators have saved me from countless headaches, and they will probably save you, too.

If you regularly use AI, especially for coding, you know there is an obvious upgrade to the usual to-and-fro in chats. What if you could save a particular workflow in AI and run it without writing a super-long prompt every time you need it? Claude Skills now lets you do exactly that. This nifty litt...

Building products without the coding part The post The Basics of Vibe Engineering appeared first on Towards Data Science.

Goose is a free, open-source AI agent that goes beyond code suggestions to autonomously execute tasks, letting you automate development workflows directly on your machine.

A practical guide to caching layers across the RAG pipeline, from query embeddings to full query-response reuse The post Beyond Prompt Caching: 5 More Things You Should Cache in RAG Pipelines appeared first on Towards Data Science.

Before you trust a library to generate your data, learn how to do it yourself and see where bias and errors actually begin.

A visual guide to vectors and projections The post Linear Regression Is Actually a Projection Problem, Part 1: The Geometric Intuition appeared first on Towards Data Science.

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Claude Skills (or Agent Skills) can turn a simple AI assistant into something far more powerful. But most people hit the same wall: they don’t know where to find them? Building skills from scratch is slow. The smarter move is to use production-ready Claude Code skills that developers are already sha...

Why one model can't do two jobs The post Two-Stage Hurdle Models: Predicting Zero-Inflated Outcomes appeared first on Towards Data Science.

The seduction of AI code assistants The post The New Experience of Coding with AI appeared first on Towards Data Science.

Unlike fully structured tabular data, preparing text data for machine learning models typically entails tasks like tokenization, embeddings, or sentiment analysis.

Most LLM hallucination fixes fail. Here is what actually works in production.

A hands-on case study and practical guidance The post One Model to Rule Them All? SAP-RPT-1 and the Future of Tabular Foundation Models appeared first on Towards Data Science.

In the lab, your AI model might seem perfect, but the real world is often where it breaks.

Privacy. Cost. Customization. Everything you need to know—step by step. The post Self-Hosting Your First LLM appeared first on Towards Data Science.

With 100+ built-in skills, OpenClaw connects AI models directly to apps, browsers, and system tools.

Learn about a future-proof shift from fragile prompt strings to reusable, testable building blocks.

If you are here, you have probably heard about recent work on recursive language models.

It’s a feature of the architecture The post Hallucinations in LLMs Are Not a Bug in the Data appeared first on Towards Data Science.

Understanding the gap between startup aspirations and practical execution reveals important lessons about building sustainable AI companies.