Feb 10 · 6 min read · 1. Introduction: In the contemporary financial landscape, the decision-making process for credit approval has shifted from subjective human assessment to high-fidelity algorithmic intelligence. Imagine a scenario where a borrower's financial future i...
Join discussion
Jan 19 · 5 min read · 📌 K-Nearest Neighbors (KNN): A Simple Yet Powerful Machine Learning Algorithm Machine Learning doesn’t always have to be complex. Some of the most intuitive ideas come from how humans naturally think and behave. K-Nearest Neighbors (KNN) is one such...
Join discussion
Oct 22, 2025 · 4 min read · When learning machine learning, some algorithms feel like “magic.” But K-Nearest Neighbors (KNN) is different; it’s one of the most intuitive algorithms to understand.It doesn’t build a complex model; instead, it relies on proximity and similarity, a...
Join discussion
Sep 6, 2025 · 9 min read · Introduction When people hear machine learning, they often imagine massive neural networks powering self-driving cars or chatbots like ChatGPT. But the journey doesn’t start with deep learning — it starts with something much simpler. In fact, one of ...
Join discussion
Sep 1, 2025 · 2 min read · Hey everyone 👋, Dhairya here. Today marks a special milestone in my AI/ML Internship Prep Challenge — I started working with Scikit-Learn (sklearn), one of the most important libraries in the ML ecosystem. After building up the math and probability ...
Join discussionMar 9, 2025 · 3 min read · The K-Nearest Neighbor ( KNN ) algorithm is a supervised learning method used for classification and regression. It is a non-parametric , Instance based algorithm , meaning it does not make assumptions about the underlying data distribution. Instead ...
Join discussionNov 28, 2024 · 3 min read · PCA-Based Classification for Breast Cancer Detection Early detection of breast cancer can significantly improve patient outcomes, making accurate diagnostic tools essential. Machine learning (ML) has revolutionized medical diagnostics by providing p...
Join discussion
Nov 8, 2024 · 6 min read · Dans le cadre de l'analyse prédictive en immobilier, j'ai entrepris un projet visant à estimer les prix des maisons en utilisant des techniques de machine learning. Ce projet s'appuie sur le dataset "USA Housing", qui fournit diverses informations su...
Join discussion
Oct 6, 2024 · 2 min read · When to use KNN Algorithm, What is KNN Algorithm? When we need to do multi-class classification, and a linear classifier no longer performs well, it is recommended to choose KNN. KNN - What does 'K' stand for? KNN stands for K Nearest Neighbors, wh...
AAdriel commentedOct 1, 2024 · 8 min read · Introduction In the first part, we explored what a classification model is, using logistic regression as an example, along with the confusion matrix and different performance evaluation methods. In this article, we'll dive into two additional classif...
Join discussion