svm-model

Handwritten Digit Recognition using Machine Learning and Deep Learning

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

Support Vector Machine in Javascript

COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"

Service for machine learning model prediction in Flask, celery

AUTOMATED TYPE CLASSIFICATION OF GLAUCOMA DETECTION USING DEEP LEARNING

Speech_Emotion_detection-CNN,SVM,RF,DT,MLP

In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifiers that uses machine learning algorithms has been used for decades in recognizing emotions from speech. However, in recent years, deep learning methods have taken the center stage and have gained popularity for their ability to perform well without any input hand-crafted features. Speech emotion on sets obtained from RAVDESS corpus is classified using a conventionally used Support Vector Machine (SVM) and its performance is compared to that of a bidirectional long short-term memory (LSTM).

EKG Analysis code for the MI3 intern group at CHOC Children's

R Package not developed anymore (only maintenance). Replaced by package rchemo

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).

🍃 Spam Classifier with Data Preparation and Support Vector Machine (SVM)

An undergraduate project to evaluate classifiers for facial expression recognition.

阅读libSVM源码的知识整理与思考（已完结）

This repository contains various machine problems with solutions with various algorithms.

My Implementation of Machine Learning models

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

I developed 2 machine learning software that predict and classify ozone day and non-ozone day. The working principle of the two is similar but there are differences. I got the dataset from ics.icu. Each software has a different mathematical model, Gaussian RBF and Linear Kernel, and classifications are visualized in different ways. I would be happy to present the software to you!

Gender recognition based on human speech signals.

Predict whether income exceeds $50K/yr based on census data.

Analysis of Support Vector Machine

Analysis of Support Vector Machine

Matlab/C++ library to evaluate SVM decision function and its derivatives.

Fisheriris dataset classifier in Matlab

For conceptual understanding you can refer my medium blog which will provide you in-depth knowledge of SVC along with various other factors required in data science.

In this video, I'll try to explain the hyperparameters C & Gamma in Support Vector Machine (SVM) in the simplest possible way.

Code for my paper titled "Online Writer Identification using Sparse Coding and Histogram based descriptors" published as an oral in the 15th International Conference on Frontiers in Handwriting Recognition (ICFHR-2016)

Application of SVM classifier and NN classifiers for sentiment classification of Russian Twitter messages

2018年全球程序员大赛参赛作品, 在给定的数据基础上,加上自己采集的飞机、天气等影响因子, 利用svm算法预测航班延误率.