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...Discussknn

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...Discuss·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...Discuss·3 likes·66 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...Discussnlp

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...DiscussMachine 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 ...DiscussML 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 ...DiscussData Science

Nathan Friesnathanfries.hashnode.dev·Aug 3, 2023Neural Search Quickstart for OpenSearchIntro Neural Search is now generally available as of OpenSearch version 2.9.0. The Neural Search plugin allows the use of pre-trained models for indexing text segments to existing k-NN enabled indices, as well as transforming queries into the same ve...Discuss·40 readsopensearch

Ashish Lalimashish1212.hashnode.dev·Jul 26, 2023Machine Learning Algorithms - Part 1/3Introduction Machine Learning algorithms form the base of any model that we choose to build to solve a specific problem. In the three parts of the blog flow, we will understand the basic mathematical underpinnings of each along with a Python code to ...Discuss·2 likes·183 readsMachine Learning

Sajjad Rahmansajjadrahman.hashnode.dev·May 25, 2023Understanding K-Nearest Neighbors (KNN) AlgorithmK-Nearest Neighbors (KNN) algorithm is one of the simplest and most widely used classification algorithms in machine learning. KNN is a non-parametric algorithm that can be used for classification or regression. It is a supervised learning algorithm ...Discuss·11 likesknn