Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
tech2geek

Scikit-learn: The Essential Machine Learning Library for Python

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...
IEEE

A Short Tutorial: Some Things You Might Not Know About k-Means Clustering

Abstract: The k-means model and algorithms to optimize it are ubiquitous in cluster analysis. It is impossible to overstate the popularity of this method, which is by far the most heavily cited and ...
GitHub

knn-classification

This project uses the K-Nearest Neighbors (KNN) algorithm to predict mobile phone price ranges based on features like battery power, RAM, and screen resolution. It includes data preprocessing, model ...
IEEE

EncodKNN: Augmenting KNN with Autoencoder for Computational Cost Reduction

Abstract: The K Nearest Neighbor (kNN) is a classification method that's easy to understand a nd commonly used in statistical data mining. Typically, kNN operates by analyzing the nearest instances to ...
Microsoft

Python+Machine Learning tutorial – Data munging for predictive modeling with pandas and scikit-learn

Building predictive models first requires shaping the data into the right format to meet the mathematical assumptions of machine learning algorithms. In this session we will introduce the pandas data ...