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  1. knn-classification · GitHub Topics · GitHub

    Mar 10, 2024 · This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as …

  2. GitHub - chingisooinar/KNN-python-implementation: K-Nearest …

    K-Nearest Neighbours is considered to be one of the most intuitive machine learning algorithms since it is simple to understand and explain. Additionally, it is quite convenient to demonstrate …

  3. knn-model · GitHub Topics · GitHub

    Apr 17, 2025 · Exploring Recommender Systems using various Machine Learning Models like scikit-learn, Surprise, NLP and collaborative filtering using KNN and Tensorflow. This project …

  4. k Nearest Neighbours with Python and Scikit-Learn · GitHub

    k Nearest Neighbours with Python and Scikit-Learn. GitHub Gist: instantly share code, notes, and snippets.

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  5. kNN with MNIST - GitHub Pages

    Importing the data from tensorflow package and checking the shape of the training and testing data set¶ In [2]: from tensorflow.examples.tutorials.mnist import input_data mnist = input_data …

  6. Develop k-Nearest Neighbors in Python From Scratch

    Feb 23, 2020 · In this tutorial you are going to learn about the k-Nearest Neighbors algorithm including how it works and how to implement it from scratch in Python (without libraries). A …

  7. k-nearest-neighbor · GitHub Topics · GitHub

    Jun 27, 2024 · This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

  8. 2.KNN on Iris Data Set using Euclidian Distance: - Medium

    May 19, 2019 · This blog focuses on how KNN (K-Nearest Neighbors) algorithm works and implementation of KNN on iris data set and analysis of output. knn explanation. knn on iris …

  9. K-Nearest Neighbors Algorithm on Iris Dataset with Python

    Jul 11, 2024 · Our goal is to create a model that categorizes the flowers given the attributes: sepal.length, sepal.width, petal.length and petal.width. We will use the K-Nearest Neighbors …

  10. Python Machine Learning KNN Example from CSV data

    Nov 11, 2019 · In previous post Python Machine Learning Example (KNN), we used a movie catalog data which has the categories label encoded to 0s and 1s already. In this tutorial, let’s …

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