My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

用Python实现SVM多分类器

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

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

DDoS attacks detection by using SVM on SDN networks.

基于Word2Vec+SVM对电商的评论数据进行情感分析

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

traffic sign detection with HOG feature and SVM model

Image classification on Tiny ImageNet

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

This is retrieval based Chatbot based on FAQs found at a banking website.

AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset

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

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.

Histogram Of Oriented Gradients

Predicting air pollution level in a specific city

This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-attacks) in SCADA water infrastructure.

Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier with lineal kernel over the following small datasets: Soccer [1], Birds [2], 17flowers [3], ImageNet-6Weapons[4] and ImageNet-7Arthropods[4].