svm-training

Here are 90 public repositories matching this topic...

Senume / Person-identification-using-ECG

This repository contains the implementation of a novel approach to identify the subjects using PQRST fragments of the electrocardiogram (ECG) signal.

svm ecg svm-training paper-implementations ecg-classification person-identification multi-lead-ecg

Updated Jan 26, 2023
Jupyter Notebook

aaronjenson / SVMCubes

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SVM-based object detection using dlib for python

python object-detection dlib svm-training

Updated Sep 29, 2018
Python

Ddeepanshu-997 / Support-Vector-Machine-Classification-

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In this repository i performed a support vector classfication on real life data in order to make a machine learning classfication model , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e SVM Classification

data-science svm machine-learning-algorithms svm-training svm-model svm-classifier

Updated Oct 25, 2023
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nataljunior / Classifyingr-in-R

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Classifying in R Identifying Categories for Customer Complaint’s Mediation Automation

classifier text-mining r text-classification text svm retail svm-training svm-learning svm-classifier retail-data complain

Updated Jun 26, 2019

METALXRAY / Diabetes-Prediction-using-Machine-Learning-with-Python

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Diabetes Prediction Model using Support Vector Machine in Python

python machine-learning jupyter-notebook svm-training svm-model svm-classifier

Updated Jun 4, 2022
Jupyter Notebook

MYoussef885 / Diabetes_Prediction

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The "Diabetes Prediction" project focuses on predicting the likelihood of an individual having diabetes using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and Support Vector Machines (SVM), this project offers a comprehensive solution for accurate classification.

data-science machine-learning pandas-dataframe sklearn svm-training svm-classifier numpy-arrays svm-kernel google-colab-notebook sklearn-metrics

Updated Sep 16, 2023
Jupyter Notebook

pedrooct / object-detector

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Object Detection Framework using HOG as descriptor and Linear SVM as classifier.

svm python3 svm-training hog-features svm-classifier python3svm python3-hog

Updated Dec 23, 2019
Python

gakas14 / Classification_projects

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Classification systems

classification logistic-regression svm-training randomforestclassifier

Updated Apr 22, 2022
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wuxyel123 / SVM_Homework_ML

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SVM Homework for Maching Learning course of MsC in ICT for Internet and Multimedia @unipd

svm ml svm-training svm-model svm-classifier

Updated Nov 30, 2022
Jupyter Notebook

kshitizrohilla / user-purchase-prediction-and-classification-using-support-vector-machine-algorithm

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This project implements the Support Vector Machine (SVM) algorithm for predicting user purchase classification. The goal is to train an SVM classifier to predict whether a user will purchase a particular product or not.

svm support-vector-machine support-vector-machines svm-training svm-model svm-classifier support-vector-classifier support-vector-machine-svm svm-kernel support-vector-classification

Updated May 17, 2023
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khare19yash / CS231n

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CS231n course assignment

python tensorflow cnn lstm dropout gan style-transfer batch-normalization rnn network-visualization svm-training captioning-images pooling knn-classifier

Updated Jun 3, 2018
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gianfranco7 / FTC-Weka

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Proyecto Final del curso Inteligencia Artificial CI-0129. I Semestre 2021.

weka svm-training svm-model svm-classifier

Updated Jul 29, 2021
Java

AlenkaTang1 / IoT

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IoT research project for user behavior prediction with mobile sensor data.

iot svm android-application data-analysis android-app predictive-modeling firebase-database svm-training iot-application random-forest-classifier digitaltwin

Updated Nov 30, 2023
Jupyter Notebook

NishantKr97 / Machine-Learning-Projects

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Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field.

machine-learning linear-regression cross-validation neural-networks svm-training