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pragmaticpython / k-nearest-neighbors-python

Star 10

An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

python machine-learning machine-learning-algorithms python3 machinelearning knn k-nearest-neighbours knearest-neighbor-algorithm k-nn knearest-neighbor-classifier knn-classification k-nearest-neighbor knn-model k-nearest-neighbors knn-classifier knearest-neighbors-classifier knearest-neighbor-classification knearest-neighbors knn-algorithm k-nearest-neighbors-k-nn
  • Updated Mar 3, 2019
  • Python

Wb-az / timeseries-sensor-anomaly-detection

Star 8

Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM

deep-learning time-series pytorch hypothesis-testing svm-model clustering-algorithm experimental-design pairwise-comparison knn-model nonparametric-statistics iforest-model conover bilstm-model pycaret-library histogram-based-outlier-score friedman-test unsupervides-deep-learning minimum-covariance-determinant
  • Updated Feb 20, 2024
  • Jupyter Notebook

skynoid2612 / Employee_Absenteeism

Star 3

The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue…

data-science exploratory-data-analysis machine-learning-algorithms data-visualization feature-selection data-analysis feature-scaling machine-learning-models knn-regression decision-tree-regression machine-learning-regression knn-model machinelearning-r missing-values random-forest-regression linear-regressor
  • Updated Jul 14, 2022
  • Jupyter Notebook

ibodumas / my_KNN_PCA_MNIST

Star 3

Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

mnist pca-analysis pca mnist-classification knn-search knn mnist-data knn-graphs knn-matting knn-algorithm-proof mnist-nn mnist-classifier nn-predictive-control mnist-model knn-regression knn-classification knn-model mnist-handwriting-recognition knn-classifier
  • Updated Oct 30, 2017
  • Jupyter Notebook

SubhangiSati / Machine-Learning

Star 2

This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.

python data-science machine-learning linear-regression machine-learning-algorithms artificial-intelligence classification logistic-regression decision-trees regression-models svm-classifier scikitlearn-machine-learning knn-classification regression-algorithms knn-model scikit-learn-python
  • Updated Feb 10, 2024
  • Python

kshitizrohilla / iris-flower-classification-using-k-nearest-neighbor-algorithm

Star 2

This project uses the K-Nearest Neighbors (KNN) algorithm to classify Iris flowers based on their sepal and petal measurements. The dataset used in this project is the Iris Dataset, which includes 150 samples of Iris flowers, each with four features: sepal length, sepal width, petal length, and petal width.

knn k-nearest-neighbours iris-flowers iris-dataset knn-classification iris-flower-classification k-nearest-neighbor knn-model k-nearest-neighbors iris-classification knn-classifier iris-flower iris-flower-data knn-algorithm iris-flower-dataset iris-flower-category k-nearest-neighbor-classifier k-nearest-neighbors-algorithm
  • Updated May 7, 2023
  • Jupyter Notebook

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