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Data Science, Machine Learning, AI & Analytics
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Feature Engineering in Scikit-Learn: A KDnuggets Cheat Sheet
3+ day, 9+ hour ago (328+ words) Once feature engineering lives inside a Pipeline, each step is fitted on training data only, and the model is scored what it actually earned. And that is the idea behind this new cheat sheet. Feature Engineering in Scikit-Learn: A KDnuggets…...
5 Useful Python Scripts to Automate CSV Processing
3+ day, 13+ hour ago (642+ words) Automate common CSV tasks with these 5 Python scripts for cleaning, validating, transforming, and processing CSV files using the standard library. CSV files show up in almost every data workflow. Exports from databases, applications, and batch jobs often end up as....
I Asked ChatGPT to Analyze 3 Datasets. It Made the Same Mistakes Every Time
1+ week, 3+ day ago (1839+ words) The review pass fixed a row count and approved two wrong conclusions. We ran an experiment: three small datasets, one AI model, and the questions a business team asks in a normal week — what's our average delivery time, which region…...
Quantifying User Behavior Patterns to Build Better Predictive Features
1+ week, 4+ day ago (716+ words) Simply knowing that a 35-year-old male in Seattle clicked 12 times last month tells you almost nothing about his intent. Traditional models treat users as fixed entities, reducing complex decision-makers to demographics and aggregate metrics. Simply knowing that a 35-year-old male…...
This Python Library Can Run Pandas Workloads Up to 20x Faster
1+ week, 4+ day ago (780+ words) Discover how FireDucks can speed up pandas workloads with lazy execution, compiler optimization, and multithreaded processing, delivering up to 20x faster DataFrame performance in our benchmark. This is where FireDucks comes in. FireDucks provides a pandas-compatible API, so you can continue…...
7 Common Python Mistakes to Avoid in AI Workflows
1+ week, 5+ day ago (542+ words) A clean run proves the process executed. It says nothing about what the pipeline learned, from which rows, in what state, or whether the saved result can be trusted anywhere else. The seven mistakes below all share that silence, and…...
Speed Up LLM Inference with DSpark Speculative Decoding
1+ week, 6+ day ago (846+ words) Learn how DSpark speculative decoding can improve local LLM generation speed using the same GPU, with Qwen3-8B, llama.cpp, and CUDA. There are many ways to get more from the models and GPU infrastructure you already have. Quantization, optimized kernels, and…...
7 Python Mistakes Beginners Make (And What to Do Instead)
1+ week, 6+ day ago (527+ words) It's about the mistakes that make a running program wrong. Below are seven of them. For each one you get the hidden cause, plus the first thing worth checking. Some Python bugs announce themselves with a traceback. The maddening ones…...
Quantization and Pruning Methods to Make Your LLM Leaner
2+ week, 2+ day ago (509+ words) A team fine-tunes a model for three weeks, gets the evaluation numbers they wanted, and then tries to actually serve it. The checkpoint alone is 140GB. That single number rules out almost every GPU a normal company has sitting in a…...
Python Data Classes Beyond the Boilerplate
2+ week, 5+ day ago (750+ words) Most developers see Python dataclasses as a shortcut for avoiding repetitive dunder methods like __init__ and __repr__. So at first look, it seems like a simple way to write less code and move faster. In practice, dataclasses are designed to reduce boilerplate…...