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·218 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·57 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·89 readsalgorithms
