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KhaledAshrafH / DT-Banknote-Authenticator

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This Python code utilizes the decision tree algorithm from the scikit-learn library to perform banknote authentication. The code aims to analyze the impact of different train-test split ratios and training set sizes on the accuracy and size of the learned decision tree.

machine-learning numpy sklearn models pandas plotting decision-tree decision-tree-classifier dt matplotlib-pyplot banknote-authentication
  • Updated Aug 24, 2023
  • Python

KhaledAshrafH / KNN-Classifier

Star 3

This repository contains a Python implementation of a K-Nearest Neighbors (KNN) classifier from scratch. It's applied to the "BankNote_Authentication" dataset, which consists of four features (variance, skew, curtosis, and entropy) and a class attribute indicating whether a banknote is real or forged.

machine-learning machine-learning-algorithms k knn k-nearest-neighbours knn-classification k-nearest-neighbors euclidean-distance knn-classifier knn-algorithm banknote-authentication k-nearest-neighbor-classifier
  • Updated Aug 24, 2023
  • Python

tdishant / Banknote-Authentication

Star 2

Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been implemented from scratch and have been applied on banknote authentication dataset. The goal of this project is to calculate and compare the accuracy o…

data-science machine-learning machine-learning-algorithms project python3 machinelearning decision-tree-classifier datamining svm-classifier classification-algorithm supervised-learning-algorithms random-forest-classifier knn-classifier banknote-authentication machine-learning-project banknote-authentication-dataset
  • Updated Jul 7, 2022
  • Jupyter Notebook

rahil-serasiya / Support-Vector-Machine-Algorithm-to-check-bank-note-authenticity-

Star 0

Our task is to predict whether a bank currency note is authentic or not based upon four attributes of the note i.e. skewness of the wavelet transformed image, the variance of the image, entropy of the image, and kurtosis of the image. This is a binary classification problem and we will use the Support Vector Machine algorithm to solve this probl…

entropy machine-learning-algorithms support-vector-machine support-vector-machines svm-model skewness banknote-authentication bank-currency
  • Updated Apr 16, 2021
  • Jupyter Notebook

BeataWereszczynska / SML_forged_banknotes

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Comparison of numerous supervised machine learning classifier models (Logistic Regression, K-Nearest Neighbors, Support Vector Machines and Decision Trees) predicting if a banknote is genuine or not based on the dataset from OpenML containing wavelet analysis results for genuine and forged banknotes. (Python 3)

python classifier jupyter-notebook python3 classification logistic-regression python-3 decision-trees support-vector-machines k-nearest-neighbours wavelets supervised-machine-learning wavelet-analysis classification-model k-nearest-neighbors banknotes-classification banknote-authentication banknote-forgery banknotes-authenticity
  • Updated Apr 21, 2023
  • Jupyter Notebook

BeataWereszczynska / UML_forged_banknotes

Star 0

UML dimensionality reduction and clustering models for predicting if a banknote is genuine or not based on the dataset from OpenML containing wavelet analysis results for genuine and forged banknotes - practical exercise. (Python 3)

python clustering jupyter-notebook python3 dimensionality-reduction k-means unsupervised-learning tsne dbscan dimension-reduction wavelets dbscan-clustering unsupervised-machine-learning wavelet-analysis k-means-clustering agglomerative-clustering kernel-pca banknote-authentication banknote-forgery banknotes-authenticity
  • Updated Apr 22, 2023
  • Jupyter Notebook

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