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Wb-az / timeseries-sensor-anomaly-detection

Star 12

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 Apr 17, 2025
  • Jupyter Notebook

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

AkashSaxenaOfficial / 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

singh-dhruv / Data-Visualization-with-Accuracy-metrics

Star 1

Welcome to this repository! Here we loaded the iris_dataset , upon training, testing and perform operations on it resulted in beautiful data visualizations along with accuracy metrics. Data Visualization and accuracy metrics are provided for some of the models that are used.

data-visualization hyperparameter-optimization logistic-regression svm-model knn-model accuracy-metrics
  • Updated Jan 13, 2025
  • Jupyter Notebook

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