GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it
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Updated
Jul 6, 2023 - Python
GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
A pure quantum knn classifier for a gated quantum computer.
The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.
Resolver Sudoku de genina.com
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
Premier Experience for Loyal eCommerce Customers
Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data
Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje d…
simple implementation of machine learning algorithm in pyhton
KNN using brute force and ball trees implemented in Python/Cython
A pattern recognition project to estimate age using KNN, SVM and CNN
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using Python
Using the Knn algorithm, it detects whether the tumor is benign or malignant in people diagnosed with breast cancer.
KNN classifier with DTW and LCSS algorithms
sentiment-analysis,document-classification,svm,logistic-regression,rcnn-text-classification, cnn-text-classification, lstm-text-classification, naive-bayes-classifier, sklearn-classify, pytorch
A genetic algorithm based approach for cost sensitive learning, in which the misclassification cost is considered together with the cost of feature extraction.
A python desktop application used to recognise images of 7 leaves. Uses Image Processing and Machine Learning models
Analysis and Prediction of Poker Hand Strength
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