Deep Learning with Yacine on MSN

Backpropagation from Scratch in Python – Step by Step Neural Network Tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding ...
Deep Learning with Yacine on MSN

Build K-Nearest Neighbors from Scratch in Python – Step by Step Tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
IEEE

Unveiling Purchase Patterns: A Comparative Analysis of Apriori, FP-Growth, and Eclat Algorithms in Market Basket Analysis

Abstract: Market Basket Analysis (MBA) is a pivotal data mining technique aimed to discover the invaluable insights into consumer behavior through the exploration of transactional data in the retail ...
GitHub

machine-learning-algorithms-from-scratch

A collection of core Machine Learning algorithms implemented from scratch using only NumPy. This project focuses on understanding the inner workings of ML models without relying on libraries like ...
GitHub

machine-learning-algorithms-from-scratch

Retail Recommendation System uses deep neural networks to deliver personalized product recommendations based on customer behavior and product data, helping retailers boost engagement, optimize ...