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Articles · Rebeauty Atlas

LIF AI SCI

LO Lorenzo Vitali

Inspiration for some Initial Feature Elimination in classical ML

I remember playing with the Titanic (or any other similar) dataset early in my career, doing a few plots, and jumping straight to model…

Jul 09, 2026 · 5 min read · 1 claps #correlation #pearson-vs-spearman #ip

Inspiration for some Initial Feature Elimination in classical ML

AI SCI

LO Lorenzo Vitali

Classic Binary Classification Metrics and top-k constraints

When I started with binary classifiers I thought the model magically would spit out only a 0 or 1. From those outputs a few simple metrics…

Jun 20, 2026 · 7 min read · 0 claps #data-science #binary-classification #metrics

Classic Binary Classification Metrics and top-k constraints

HUM AI

IN Infinite Ripples

A Layer-Wise Derivation of Backpropagation in Neural Networks

Neural networks learn by making mistakes—and then systematically correcting them. Every accurate prediction is built upon a chain of…

Feb 06, 2026 · 7 min read · 3 claps #backpropagation #deep-learning #neural-networks

A Layer-Wise Derivation of Backpropagation in Neural Networks

HUM AI

MH M. Hizaz Badruzaman

Eksplorasi Binary Classification untuk Deteksi Spam Menggunakan ML.NET

Machine learning saat ini sudah banyak dimanfaatkan untuk membantu menyelesaikan berbagai permasalahan, salah satunya adalah deteksi spam…

Jan 04, 2026 · 3 min read · 0 claps #binary-classification #spam-detection #mlnet

HUM AI TCH

MW Mwangiboyle

Logistic Regression Explained Simply

Logistic Regression is one of the most popular algorithms for binary classification. Unlike Linear Regression, which predicts continuous…

Aug 25, 2025 · 2 min read · 0 claps #logistic-regression #binary-cross-entropy #machine-learning

GEN AI TCH

MU Muhammad Shahab

How AdaBoost Works: Turning Weak Learners into Strong Predictors

Understanding the Step-by-Step Process and Inner Workings Behind AdaBoost’s Predictive Power in Binary Classification

Jan 19, 2025 · 7 min read · 10 claps #adaboost #adaboost-algorithm #adaboost-classifier

How AdaBoost Works: Turning Weak Learners into Strong Predictors

HUM AI

AB Abhiveer Singh

Building a Neural Network for Binary Classification from Scratch: Part 3 (From Training to…

Building neural networks from scratch is an exciting way to truly understand how they work. In this final part, we’ll train our binary…

Nov 30, 2024 · 5 min read · 0 claps #binary-classification #machine-learning #neural-networks

Building a Neural Network for Binary Classification from Scratch: Part 3 (From Training to…

AI SCI

AY Ayushmaan Srivastav

Titanic’s Secrets Unveiled: What Would Jack and Rose Discover Through Data Science?

A serene evening on the deck of the RMS Titanic. Rose and Jack sit together, gazing at the starlit sky as the ocean whispers tales of the…

Mar 14, 2024 · 3 min read · 0 claps #100daychallenge #technical-transformation #day-37

Titanic’s Secrets Unveiled: What Would Jack and Rose Discover Through Data Science?

AI

NI NitinKumar Sharma

Logistic Regression: A Fun Exploration for Budding Data Scientists!

Hey there, future data scientists! Today, let’s embark on an exciting journey into the world of logistic regression. We’re going to make it…

Dec 09, 2023 · 5 min read · 4 claps #logistic-regression-model #sigmoid-curves #log-odds

Logistic Regression: A Fun Exploration for Budding Data Scientists!

HUM AI TCH

KA Kasun Dissanayake · Towards Dev

Machine Learning Algorithms(6)- Metrics for Binary Classification

Classification metrics let you assess the performance of machine learning models but there are so many of them, each one has its own…

Nov 09, 2023 · 6 min read · 415 claps #binary-classification #confusion-matrix #precision

Machine Learning Algorithms(6)- Metrics for Binary Classification

AI

RA Rakesh M K · Artificial Intelligence in Plain English

A Simple Dense Classification Model for a ChatGPT Generated Imbalanced Data.

Introduction

Sep 13, 2023 · 5 min read · 149 claps #dense-layer #overfitting #binary-classification

A Simple Dense Classification Model for a ChatGPT Generated Imbalanced Data.

AI

TH THE LAZY DEVELOPER

Logistic Regression

Introduction: Logistic Regression is a statistical method used for binary classification. This is for making a prediction between two…

Aug 30, 2021 · 1 min read · 1 claps #logistic-regression #sigmoid-function #sigmoid-curves