Muhammad Ihsanemhaihsan.hashnode.dev·Jul 12, 2024Klasifikasi Bunga Iris dengan K Nearest NeighborDalam dunia machine learning, banyak algoritma yang dapat digunakan untuk memprediksi data baru berdasarkan data yang sudah ada. Salah satu algoritma yang sederhana namun kuat adalah K-Nearest Neighbor (KNN). Kelebihan yang paling menonjol dari algor...DiscussSeri Belajar Machine Learningiris data

Prajwal M Dprajwalmd.hashnode.dev·May 17, 2024Understanding the K-Nearest Neighbors (KNN) AlgorithmThe K-Nearest Neighbors (KNN) algorithm is one of the simplest and most intuitive machine learning algorithms used for classification and regression tasks. Its straightforward approach makes it a great starting point for beginners in data science and...DiscussPython

Oluwaseyi Ogunnowodataking.hashnode.dev·Apr 22, 2024An Implementation of the Nearest Neighbours Algorithm from Scratch in PythonI recently came across an intriguing fact about doppelgangers. People who look alike but are not related tend to behave similarly and have similar genetic profiles. You can read more about this fascinating fact here. This means that anyone who resemb...Discuss·3 likesData Science

Lakshmanlakshman007bff.hashnode.dev·Mar 31, 2024Color Name Prediction: A Simple, Perfect Guide to Live Machine Learning with KNNIntroduction Introducing Color Name Prediction, a user-friendly web application that identifies color names with just a click! Powered by a sophisticated K-Nearest Neighbors (KNN) algorithm, it analyzes the RGB values of images to accurately predict ...Discuss·1 like·65 readsuigradient

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

K Ahameddatailm.hashnode.dev·Oct 3, 2023Demystifying Train-Test Split in Machine LearningIn the realm of machine learning, evaluating the performance of a model is crucial. The train_test_split function from sklearn.model_selection simplifies this process by dividing a dataset into training and testing sets, allowing robust model assessm...DiscussMachine LearningMachine Learning

Indirakumar SforQuasar Community Blogblog.quasarcommunity.org·Aug 10, 2022K-Nearest Neighbor(KNN) AlgorithmK-Nearest Neighbor Algorithm The k-nearest neighbours (KNN) technique calculates the likelihood that a data point will belong to one group or another based on which group the data points closest to it do. The k-nearest neighbour algorithm is an examp...Discuss·1 like·87 readsAll you need to know about Machine learning k nearest neighbors

Robin kumarthecoderbro.hashnode.dev·Jul 25, 2022K-Nearest Neighbors algorithm(KNN)Hey again! we’ll start learning about Machine Learning algorithms. And in this blog, we will be talking about one of the commonly used classification algorithms, KNN algorithm. K-Nearest Neighbors is one of the easiest to understand, yet very import...Discuss·1 like·59 readsMachine Learning with Python Course,

Kamil Sopatawww.waveinit.com·Apr 16, 2019K-Nearest neighbors algorithm - the first step to Machine Learning?Machine Learning is like a magic word now - for sure you have heard something cool about it, a lot of developers tried to build some models using ready to use libraries like scikit-learn, but still some of us are affraid of it. But do you know that y...Discuss·108 readsalgorithms