· ai
Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransformer
Forget stiff lines and wild polynomials. Discover why Splines are the 'Goldilocks' of feature engineering, offering the perfect balance of flexibility and disci...
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- · ai
Sharpening the Axe: Performing Principal Component Analysis (PCA) in R for Modern Machine Learning
“Give me six hours to chop down a tree and I will spend the first four sharpening the axe.” — Abraham Lincoln This quote resonates strongly with modern machine...
- · ai
Automating machine learning with AI agents
Overview When solving competitions on Kaggle, you quickly notice a pattern: Baseline – upload the data, run CatBoost or LightGBM, and get a baseline metric ≈ ½...
- · ai
Modelos de ML: Por Qué Tu Predicción Es Buena... Hasta Que No Lo Es
!Imagen del artículohttps://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazo...
- · software
Extracting Flow-Level Network Features from PCAPs with Tranalyzer2
Why Flow‑Level Feature Extraction Matters Flow‑level representation is a fundamental abstraction in modern network traffic analysis. Instead of operating on in...
- · ai
Is Your Model Time-Blind? The Case for Cyclical Feature Encoding
How cyclical encoding improves machine learning prediction The post Is Your Model Time-Blind? The Case for Cyclical Feature Encoding appeared first on Towards D...
- · ai
Feature Engineering
What is Feature Engineering? - A feature is just a column of data e.g., age, salary, number of purchases. - Feature engineering means creating, modifying, or s...