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Code Applied

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articles: 14
total claps: 710
top claps: 139
avg read: 6.1 min
paywalled: 14
active: 2026-02-09 → 2026-07-16

Wiki topics

ML · Machine Learning · 14 🔬 · Science · General · 14 EDU · Education & Learning · 6 📐 · Mathematics · 5 💻 · Programming · 3 RAG · RAG & Retrieval · 2 AI · AI · General · 2 LLM · Large Language Models · 2

Top tags

#python ·14 #data-science ·14 #machine-learning ·6 #statistics ·4 #data-analysis ·3 #artificial-intelligence ·2 #llm ·2 #gradient-boosting ·2 #python-programming ·2 #linear-regression ·2

HUM AI SCI DSN LIF

GU Gustavo R Santos · Code Applied

Mastering Non-Linear Data: Why Splines Outperform Linear Models

Learn how to use piece-wise polynomials and knots to build more flexible, disciplined, and accurate machine learning models.

Apr 21, 2026 · 5 min read · 139 claps paywalled #data-science #machine-learning #statistics

Mastering Non-Linear Data: Why Splines Outperform Linear Models

AI SCI

GU Gustavo R Santos · Code Applied

Statistical Analysis in Python: A Beginner’s Guide to Probability Distributions in Python

Essential Methods from the Scipy.stats Module

Feb 09, 2026 · 6 min read · 110 claps paywalled #python #statistics #scipy

Statistical Analysis in Python: A Beginner’s Guide to Probability Distributions in Python

AI TCH SCI

GU Gustavo R Santos · Code Applied

Level Up Your Python: How to Convert Functions to Well-Structured Classes

How to bundle related code and shared state into a structured, production-ready class structure.

May 16, 2026 · 6 min read · 103 claps paywalled #python #python-programming #code-refactoring

Level Up Your Python: How to Convert Functions to Well-Structured Classes

AI SCI

GU Gustavo R Santos · Code Applied

Advanced SciPy Stats Guide: Compare Samples, Bootstrap Data & Run Monte Carlo Simulations

Learn how to compare datasets, run simulations, and apply advanced statistical techniques using Python’s scipy.stats module.

Apr 04, 2026 · 6 min read · 76 claps paywalled #statistics #data-science #python

Advanced SciPy Stats Guide: Compare Samples, Bootstrap Data & Run Monte Carlo Simulations

AI SCI

GU Gustavo R Santos · Code Applied

Ridge Regression Explained Like You’re Tuning a Car Engine

Finding the Perfect Balance for Better Generalization

Apr 23, 2026 · 4 min read · 66 claps paywalled #linear-regression #statistics #data-science

Ridge Regression Explained Like You’re Tuning a Car Engine

AI SCI

GU Gustavo R Santos · Code Applied

The Map of Meaning: How Embedding Models Understand Human Language

A Non-Technical Deep Dive into How AI Uses Digital Fingerprints to Organize the World’s Information.

May 03, 2026 · 10 min read · 52 claps paywalled #artificial-intelligence #data-science #python

The Map of Meaning: How Embedding Models Understand Human Language

AI SCI

GU Gustavo R Santos · Code Applied

How to Build Better AI Agents with LangGraph

Explore 5 strategies for implementing cycles and human oversight in Python.

Apr 05, 2026 · 5 min read · 52 claps paywalled #langgraph #artificial-intelligence #llm

How to Build Better AI Agents with LangGraph

HUM AI SCI

GU Gustavo R Santos · Code Applied

C-Support Vector Classification (SVC) in Python: A Comprehensive Guide

Learn how to implement SVM classifiers using Scikit-Learn and master hyperparameter tuning for better model accuracy.

May 31, 2026 · 6 min read · 50 claps paywalled #python #machine-learning #data-science

C-Support Vector Classification (SVC) in Python: A Comprehensive Guide

ECO MKT AI SCI

GU Gustavo R Santos · Code Applied

How to Predict Customer Behavior and Stop Churn Using Transaction Data

Understand the key patterns, like declining frequency and long purchase gaps, that signal when a customer is about to leave.

Apr 01, 2026 · 7 min read · 33 claps paywalled #data-science #linear-regression #data-analysis

How to Predict Customer Behavior and Stop Churn Using Transaction Data

ECO HUM AI SCI

GU Gustavo R Santos · Code Applied

How to Find the Perfect Number of Estimators in Gradient Boosting

Learn the definitive strategy to balance learning rate and n_estimators for maximum accuracy

Apr 10, 2026 · 6 min read · 14 claps paywalled #data-science #python #gradient-boosting

How to Find the Perfect Number of Estimators in Gradient Boosting

AI LIF TCH SCI

GU Gustavo R Santos · Code Applied

10 Snippets to Make Your Code More Elegant

Try these codes if you want to make your Python code cleaner and more readable.

Jun 07, 2026 · 4 min read · 11 claps paywalled #python #python-programming #data-science

10 Snippets to Make Your Code More Elegant

HUM AI SCI

GU Gustavo R Santos · Code Applied

Gaussian Mixture Models (GMM) Explained: A Simple Guide

Learn how Gaussian Mixture Models work in machine learning, how they use soft clustering, and why they go beyond simple normal…

Jul 16, 2026 · 6 min read · 3 claps paywalled #clustering #gaussian-mixture-model #data-science

Gaussian Mixture Models (GMM) Explained: A Simple Guide

HUM AI SCI TCH

GU Gustavo R Santos · Code Applied

Fixing the Time-Blindness Bottleneck With This Trick You’re Missing for Time-Series Data

How cyclical encoding improves machine learning prediction

Jun 10, 2026 · 6 min read · 1 claps paywalled #time-series-analysis #python #data-science

Fixing the Time-Blindness Bottleneck With This Trick You’re Missing for Time-Series Data

HUM AI SCI

GU Gustavo R Santos · Code Applied

LightGBM: Predict it Fastly With Gradient Boosting

Learn how to implement a fast and effective Gradient Boosting model using Python

Jun 22, 2026 · 8 min read · 0 claps paywalled #data-science #python #machine-learning