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...Discussopensearch

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·177 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

Prince Pandeyinprincepandey.hashnode.dev·May 23, 2023Discovering the Beauty of k-Nearest Neighbors: An Intimate Journey into the World of Machine LearningIntroduction In a world where data is constantly evolving, machine learning algorithms serve as our trusty companions, unravelling patterns and making sense of the chaos. Among these algorithms, there is one that holds a special place in my heart: k-...DiscussMachine Learning

Naveen Kumarnaveenkumar-nk.hashnode.dev·May 13, 2023Unlocking the Power of Data: Mastering Machine Learning Imputation Techniques with Mathematical Precision (PART 2):INTRODUCTION In Part 2 of our blog series on missing data imputation techniques, we will explore the K-Nearest Neighbors (KNN) imputation method. KNN imputation is a powerful approach for handling missing values by leveraging the concept of similarit...Discuss·1 like·117 readsMachine Learning

Aditya Shrivastavaaadis.hashnode.dev·May 7, 2023Exploring the k-NN Algorithm: Advantages, Limitations, and Best PracticesIntroduction: K-nearest neighbor (k-NN) is a simple and popular machine learning algorithm that can be used for both classification and regression problems. It is a non-parametric and lazy learning algorithm, which means it does not make any assumpti...DiscussMachine Learning

Pankaj Singhpankaj007.hashnode.dev·Apr 9, 2023An overview of the most common machine learning algorithms used in cyber securityIntroduction Machine learning algorithms are becoming increasingly popular in the field of cybersecurity. These algorithms can help detect and prevent cyber threats by identifying patterns and anomalies in large datasets. In this blog, we will provid...Discuss·10 likesknn

Aditya Rajbharcodebyaadi.hashnode.dev·Feb 23, 2023K-Nearest Neighbors (KNN) Algorithm Explained with Easy-to-Understand ExamplesK-Nearest Neighbors (KNN) is a machine learning algorithm that can be used for classification and regression problems. It's a simple and easy-to-understand algorithm, which makes it a good starting point for learning about machine learning. The basic...Discuss·60 readsknn