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27 search results found

Fake_news_detection ⭐ 251

Fake News Detection in Python

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

SVM Classifier in Ruby

OpenTC is a text classification engine using several algorithms in machine learning

Eeg_classifier ⭐ 19

A general matlab framework for EEG data classification

Extendedmorphologicalprofiles ⭐ 14

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

Custom Svm ⭐ 11

Custom implementation of Support Vector Machines using Python and NumPy

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Glaucoma Detection ⭐ 9

AUTOMATED TYPE CLASSIFICATION OF GLAUCOMA DETECTION USING DEEP LEARNING

Data Science Projects ⭐ 8

{PySpark, R, Python}: Several Data Science projects

Breast Cancer Diagnosis Using Machine Learning ⭐ 8

Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.

Network Intrusion Detection Using Machine Learning ⭐ 8

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

Greywolfoptimization Mksvm ⭐ 8

Using GreyWolfOptimization for feature selection and multi kernel SVM for classification for Malware Hunting on IoT devices

Linearsvmclassification ⭐ 8

Forest cover type classification/detection using linear support vector machine implemented with gradient descent (from scratch)

Sign Language Recognition Using Scikit Learn And Cnn ⭐ 7

The project aims at building a machine learning model that will be able to classify the various hand gestures used for fingerspelling in sign language. In this user independent model, classification machine learning algorithms are trained using a set of image data and testing is done. Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN).

Uri Url Classification Using Recurrent Neural Network Svm And Randomforest ⭐ 7

URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval

Svm_pcl_demo ⭐ 7

example of SVM classification using PCL library

Face Classification Using Facenet And Mtcnn ⭐ 7

Face Recognition and Classification Using FaceNet and MTCNN

Multiplekernel Leastsquares Supportvectormachine ⭐ 6

Multiple Kernel Least Squares Suport Vector Machine provide classification model.

Moviereviewclassification ⭐ 6

Movie Review Classification using NLP(Natural Language Processing) and ML(Machine Learning)

Gender Voice Recognition_machine Learning ⭐ 6

Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)

Anomaly Detection ⭐ 5

Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.

Lighttwinsvm ⭐ 5

LightTwinSVM Program - Simple and Fast Implementation of Standard TwinSVM Classifier

Predictive Maintenance With Machine Learning ⭐ 5

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

License Plate Recognition System ⭐ 5

license plate recognition system will work with camera to identify the plate number of the car that tries to enter the parking lot, and also check if the car allowed/not allowed to enter by checking the DB of the system.

Myfitnesspal ⭐ 5

Large Scale Text Classification ⭐ 5

Large Scale benchmarking of state of the art text vectorizers

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