Anix Lynchgozeroshot.dev·Nov 5, 2024Part 1: 11 Basic Machine Learning Techniques with Math Notation Friendly Explained1. Linear Regression Linear Regression is one of the simplest techniques for predicting a continuous outcome by modeling the relationship between an independent variable and a dependent variable with a straight line. Key Concept:The goal of linear re...#Regression
Ankit Kumartheminermind.hashnode.dev·Jul 22, 2024Understanding K-Nearest Neighbors (KNN): From Basics to Weighted KNNIntroduction K-Nearest Neighbors (KNN) is an intuitive algorithm used for classification and regression. Imagine you move to a new neighborhood and want to know the best restaurant. You ask your closest neighbors for recommendations, and the majority...1 likeKNN algorithms
Arbash Hussaincckeh.hashnode.dev·Jun 19, 2024FeaturedA Step-by-Step Guide to K-Nearest Neighbors (KNN) in Machine LearningIntroduction Welcome back, everyone, to the 3rd blog post in our Machine Learning Algorithms Series! Today, we'll dive into K-Nearest Neighbors (KNN), a fundamental algorithm in machine learning. We'll be implementing the KNN algorithm from scratch i...21 likes·110 readsMachine LearningMachine Learning
Md Shahriyar Al Mustakim Mitulmitul-shahriyar.hashnode.dev·May 2, 2024Machine Learning : K Nearest Neighbors (KNN) Part 11Let's assume we have 2 categories (Red & Green) Now if we have a new data (white), where should we keep it? Category 1 or, Category 2?? Using KNN , we basically assign that data to a category. How to do that? Let's practice now Part 1: We have poi...ML From scratch to Expertknn
Retzam Tarleretzam.hashnode.dev·Apr 15, 2024K-Nearest Neighbors - Supervised Learning Classificationprint("K-Nearest Neighbors") K-Nearest Neighbors(KNN) is a supervised learning model used in classification and regression tasks. KNN makes predictions for an outcome based on its closest neighbors. For the course of this chapter, we'll be discussing...42 readsknn
Sarvesh.Patilunraveller.hashnode.dev·Mar 20, 2024Understanding a ML model from scratch.Introduction: Machine learning is a vast field, especially in today's era dominated by ChatGPT, Gemini, and various AI models. Many aspire to become AI or ML engineers but struggle to find a starting point. Assuming some hands-on experience with Pyth...3 likes·82 readsAI
Ali Vijdaanvijdaancoding.hashnode.dev·Jan 28, 2024Resume Categorization made Easy with NLP and Machine LearningIntroduction The amalgamation of NLP, a branch of artificial intelligence that enables computers to understand, interpret, and generate human-like text, and machine learning algorithms that empower systems to learn patterns from data, creates a found...nlp
Sudhin Karkitechgigsudhin20.hashnode.dev·Jan 24, 2024Fundamental Machine Learning AlgorithmsLinear Regression It is a supervised learning algorithm used to predict continuous outcome based on number of input features. It assumes a linear relationship between input features and output variable. It tries to minimize the sum of squared differe...Machine Learning
Saurabh Naiksaurabhz.hashnode.dev·Sep 30, 2023Proximity Power: Mastering K-Nearest Neighbors (KNN) for Data PredictionsIntroduction: K-Nearest Neighbors, commonly known as KNN, is a versatile and intuitive algorithm used in both classification and regression tasks. Whether you're categorizing emails, identifying handwritten digits, or predicting house prices, KNN is ...ML algorithm intuitions with essential conceptsknn
Kenneth Akpocoderofph.hashnode.dev·Aug 16, 2023K-Nearest Neighbors (KNN): A Simple and Intuitive Machine Learning AlgorithmIntroduction In the vast landscape of machine learning algorithms, the K-Nearest Neighbors (KNN) algorithm stands out as a remarkably intuitive yet powerful approach to classification and regression tasks. Rooted in the concept of proximity, KNN has ...Data Science
