govinda takstudy-pcaclassification-breast-cancer.hashnode.dev·Nov 28, 2024Comparative Study: PCA & Classification in Breast Cancer DetectionPCA-Based Classification for Breast Cancer Detection Early detection of breast cancer can significantly improve patient outcomes, making accurate diagnostic tools essential. Machine learning (ML) has revolutionized medical diagnostics by providing p...1 likeMachine Learning
Aurel VHXauradev.hashnode.dev·Nov 8, 2024House Prices PredictionDans le cadre de l'analyse prédictive en immobilier, j'ai entrepris un projet visant à estimer les prix des maisons en utilisant des techniques de machine learning. Ce projet s'appuie sur le dataset "USA Housing", qui fournit diverses informations su...1 likeMachine Learning
Manyue javvadiknn-algorithm-explained-by-manyue-javvadi.hashnode.dev·Oct 6, 2024How KNN Works: A Simple Explanation of Nearest NeighborsWhen to use KNN Algorithm, What is KNN Algorithm? When we need to do multi-class classification, and a linear classifier no longer performs well, it is recommended to choose KNN. KNN - What does 'K' stand for? KNN stands for K Nearest Neighbors, wh...28 readsManyueJavvadi
Omkar Kastureomkarkasture.hashnode.dev·Oct 1, 2024Classification Models Part-2: Exploring LDA and KNNIntroduction In the first part, we explored what a classification model is, using logistic regression as an example, along with the confusion matrix and different performance evaluation methods. In this article, we'll dive into two additional classif...10 likesThe Ultimate Machine Learning Guide#ClassificationModels
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Sep 23, 2024Unlocking the Power of K-Nearest Neighbors: A Deep Dive into NumPy ImplementationWelcome to the fascinating realm of K-Nearest Neighbors (KNN), a cornerstone algorithm in machine learning that's both elegantly simple and surprisingly powerful. Its simplicity belies its powerful capabilities in both classification and regression t...Machine Learning
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
