#classification

Default 0.5 Is the Worst Threshold Your Classifier Could Use

A fraud model with 0.91 AUC captures only 17 percent of the value it can deliver at the default 0.5 cutoff, but change one number to 0.04…

AZURE ML: Find the best classification model with Azure ML AutoML using MLflow tracking and the…

Picture a Belfast healthcare provider running a Type 2 diabetes risk-stratification pilot across 14 GP surgeries. They have a CSV of 15,000…

Classification

A recap of Andrew Ng course (Machine Learning Specialization) on Coursera

Understanding Supervised Learning: Teaching Machines Using Examples

In the previous article, we explored the fundamentals of Machine Learning, why it exists, how machines learn from data, and the different…

Classification — Sınıflandırma

Mastering Applied Data Science | Day 4

Evaluation Metrics for Regression and Classification Models

Step 1: Understand the Two Types of Machine Learning Problems

Calculating classification metrics in Power BI

From notebooks to dashboards: Evaluating ML models in Power BI

Naive Bayes

The surprisingly strong baseline machine learning model with an unflattering name and false pretenses

Linear and Logistic Regression

The Two Models That Power a Surprising Amount of Machine Learning

Mesaj Sınıflandırma: Serbest Metinlerde Doğru Kapsamı Bulmak

Mesaj işleyen sistemlerde gelen metinler her zaman belirli bir formatta olmayabilir. Kullanıcı tarafından oluşturulan kısa mesajlar…

# The Dummy Classifier Beat My Random Forest. Here’s What I Learned.

### A practical guide to threshold tuning, ROC-AUC, and why F1 lies on imbalanced data

K-Nearest Neighbors (KNN) Nedir?

Machine Learning’de bazı algoritmalar karar verirken çevresindeki verilere bakarak tahmin yapar. İşte bu yaklaşımın en popüler…

Beyond Cross-Entropy: Mastering Focal Loss for Extreme Class Imbalance

If you are training a neural network for classification, chances are you are using Cross-Entropy Loss (CEL). It is the undisputed gold…

Your Manager Made the Call. So Why Is the Audit Coming to You?

When the escalation goes against you, your credentials are still on the record

From Narrative to Data: Automating Crime News Extraction with Machine Learning

On paper and in many tutorials, data analysis always seems to start with a perfectly structured .csv file ready for processing. However, in…

SVM ( support vector machine ).

SVM is the super important machine learning algortihm solves both classification and regression problem .It tries to find the best boundary…

How I Went from Zero to Top 5% on Kaggle Spaceship Titanic (0.80967)

This is a full write-up of my first serious end-to-end Kaggle competition. My final CatBoost submission scored 0.80967 on the public…

Support Vector Machines vs Least Square SVM — A Practical Understanding

Introduction

Linear Models in Machine Learning: Regression, Classification, Logistic Regression, and the…

A deep, structured guide to linear models — understand decision boundaries, hyperplanes, probability, and why simplicity still matters…

Machine Learning Made Simple: Classification using WEKA with Visual Insights

Introduction

The Power of Classification: From Messy Chaos to Intelligent Systems

We live in a world overflowing with information — documents, images, logs, transactions, conversations. At first glance, much of this data…

🤖 NLP Token Classification: How Machines Understand Every Word You Type

Imagine typing this into a chatbot:

Efficient Structured Prediction with Small Language Models

Label-Aware Attention for Joint Classification and Summarization

Can AI Really Understand Our Land from Space?

We wanted to answer a simple question: can machines really understand our land just by looking from space? Using satellite images of Ranya…

È peggio arrivare secondi o terzi?

Una lezione di consapevolezza

When a TPR Gap Is Really a Risk-Mix Gap

We disentangle population risk from model-specific performance when subgroups enter with different risk profile.

Handling Imbalanced Data

When Your AI Is 99% Accurate — and Completely Useless

Demystifying the winning solution for Reddit comment moderation competition on Kaggle using LLMs

Uygulamalı Kaggle Eğitimi

Iris (Süsen Çiçeği) Veri Seti ile Başlangıç

Comparing Classification Algorithms on Iris Dataset

A practical comparison of KNN, SVM, Decision Tree and Logistic Regression using scikit-learn.

Fundamentals of Machine Learning — Study Solutions

This contains the solutions to the exercises in the Fundamentals of Machine Learning Study Guide

The Logic of Logistic Regression: An Advanced Classification Tutorial

Joseph Catanzarite 10/27/2020

Statistical Classification

This is a continuation of study material on Computer Vision and Pattern Recognition. It covers:

Statistical Methods for Feature Selection in Machine Learning

How to systematically identify the features that actually improve your ML models

How TabPFN “Sees” Letters: Classifying 26 Characters with the Many-Class Extension

Even though TabPFN is a tabular model, it can “see” shapes. Here’s how it recognizes letters from numerical features.

【台灣史上首起信用卡團體訴訟】

三千萬資產，卻被國泰世華當成提款機。

Time‑Series Classification — a Practical Field Guide (with a Telco Churn Walkthrough)

Introduction: From Static Snapshots to Evolving Sequences

Time-Series Churn Classification:

Avoiding Temporal Leakage, Fusing Signals, and Unmasking True Causality

Forget sklearn for a Moment: Understanding KNN by Coding It Yourself

One of the simplest machine learning algorithms is KNN, which stands for K-Nearest Neighbors. It’s a supervised machine learning, meaning…

Predicting Stress Levels from Sleep and Lifestyle Data: My First ML Classification Project

A hands-on journey building and evaluating a Decision Tree classifier using real-world health data.

Gini Impurity: A Core Concept for Decision Trees

Fine-Tuning DistilBERT: A Beginner’s Guide to Transformers in Action

In the world of Natural Language Processing (NLP), transformer models like BERT, GPT, and DistilBERT have revolutionized how machines…

여행 검색 경험 향상을 위한 AI 활용

여행을 준비할 때 우리는 숙소, 투어, 액티비티, 입장권 등 다양한 상품을 한 곳에서 검색하고 싶어합니다. 마이리얼트립의 통합검색은 바로 이런 니즈를 반영해, 항공을 제외한 모든 여행 상품을 한 곳에서 검색할 수 있도록 설계된 기능입니다. 하지만…

A Walkthrough of a Customer Churn Prediction Analysis, Using Supervised Machine Learning…

Disclaimer: This project is for educational purposes only. The dataset was sourced from Kaggle and is used here under the assumption of…

🔥 Logistic Regression from A to Z: The Ultimate Guide You Wish You Read Earlier

“It’s not magic, it’s math. But damn, it feels like magic when predictions start hitting with 90%+ accuracy.”

Supervised Learning — Classification

Contents

Making Decision Trees Smarter

A Simple Way to Improve the Accuracy of Decision Trees

Bank Transaction Analysis Using Weka: Classification, Clustering & Pattern Discovery

-Akshay Anand, Yash Kumar, and Yash Choudhary

🧠 Building an AI-Powered Disease Classifier: A Machine Learning Journey

🩺 Introduction

Cross-Entropy and Log Loss: Mathematical Foundations and Their Use in Classification

Understanding Cross-Entropy and Log Loss: Math, Intuition, and Python for Classification Models