KDnuggets

Practical NLP in the Browser with Transformers.js

This tutorial covers three NLP tasks: text classification, zero-shot labelling, and question answering using Transformers.js's pipeline() API.

The ‘Entry-Level’ Gatekeeper: Auditing Job Descriptions with Textstat

This article shows how to use free, open-source tools like Python and its Textstat library to build a script that automates the process of capturing "gatekeeping language" in…

Tweaking Local Language Model Settings with Ollama

In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local language model parameters.

7 Real World AI Projects to Build in 2026 (with Guides)

Explore seven practical AI projects that automate real workflows, including job search, web research, investment research, market trend analysis, invoice processing, chart digitization, and personalized exercise training.

Pandas GroupBy Explained With Examples

Learn how to use Pandas GroupBy to summarize, compare, and analyze grouped data with simple, practical examples.

5 Scipy.stats Tricks for Simulating ‘What If’ Scenarios

In this article, we will take a look under the hood of scipy.stats, exploring five essential tricks to design high-performance, rigorous simulations using only NumPy and SciPy.

Visual Debugging Tools for Machine Learning Workflows

In this article, we cover three topics: what to visualize during training, the tools that provide those visualizations, and the methods to capture model computations directly using hooks…

Top 7 Python Libraries for Large-Scale Data Processing

This article covers Python libraries that make large-scale data processing faster, more scalable, and easier to manage across modern data workflows.

By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on May 26, 2026 in Python