svm-linear

There are 0 repository under svm-linear topic.

shraddha-sanil / diabetic-retinopathy-detection-methodological-framework
This DR detection methodology has six steps: preprocessing, segmentation of blood vessels, segmentation of OD, detection of MAs and hemorrhages, feature extraction and classification. For segmentation of blood vessels BCDU-Net is used. For OD segmentation, U-Net model is used. MAs and hemorrhages are extracted using Otsu thresholding technique. Both clinical and non-clinical features are extracted and fed to SVM classifier.
image-processing diabetic-retinopathy-detection diabetic-retinopathy image-preprocessing clahe segmentation blood-vessels-extraction blood-vessel-segmentation optic-disc-segmentation feature-extraction glcm classification svm svm-classifier svm-linear otsu-thresholding circular-hough-transform matlab python
Language:Jupyter Notebook 4
tetaniarizki / Marketplace-Review-From-Google-PlayStore
This repository is an analysis of the classification of sentiment reviews from users of the marketplace application, where the word weighting methods used are TFIDF and Word2Vec. Meanwhile, the classification method used is Support Vector Machine (SVM). There are two kernels used in this analysis, namely the kernel Linear and the kernel Radial Basis Function (RBF).
classification eda kernel linear machine-learning nlp normalize preprocessing sentiment-analysis stopwords svm svm-linear svm-model svm-rbf text-classification tfidf word2vec supportvectormachine
Language:Jupyter Notebook 2
amirR01 / Predicting-Breast-Cancer-Survival
Predicting breast cancer survival using machine learning models
breast-cancer breast-cancer-prediction decision-tree-regressor decision-trees deep-learning gene-mutation knn linear-regression logistic-regression machine-learning random-forest random-forest-regressor svm-linear svm-rbf gene-learning-on-clinical-data pca t-sne
Language:Jupyter Notebook 1
NisrineBennor / Langage_R_Data_Visualisation_Machine_Learning
plotly ggplot2 ggplot2-theme ggplot2-scales caret svm-linear svm dplyr rstudio machine-learning machinelearning-r naive-bayes-classification
1
Vitor-Sallenave / Data-Mining-Cardiac-Arrhythmia
From the database about cardiac arrhythmias and the studies on pre-processing, the repository aims to present and discuss the results obtained using the Decision Tree model J48 and the SVM Linear model to classify the data.
decision-tree-classifier machine-learning numpy pandas scipy sckit-learn seaborn skfeature svm-linear
Language:Jupyter Notebook 1
Bioviking / Protein_Prediction_Project
Protein structure prediction of membrane and globular proteins
protein structure prediction of membrane and globular proteins predictor svm svm-linear
Language:Python 0
lanmar / Python---Mushrooms
Logistic regression with l1 and l2 regularization VS Linear SVM
logistic-regression l1-regularization l2-regularization svm-linear svm python ridge lasso
Language:Jupyter Notebook 0
sriram2397 / titanic-kaggle
Solution to Kaggle's Titanic survival prediction
kaggle-titanic titanic-survival-prediction titanic-kaggle machine-learning python sklearn logistic-regression svm-linear
Language:Jupyter Notebook 0

svm-linear

shraddha-sanil / diabetic-retinopathy-detection-methodological-framework

tetaniarizki / Marketplace-Review-From-Google-PlayStore

amirR01 / Predicting-Breast-Cancer-Survival

NisrineBennor / Langage_R_Data_Visualisation_Machine_Learning

Vitor-Sallenave / Data-Mining-Cardiac-Arrhythmia

Bioviking / Protein_Prediction_Project

lanmar / Python---Mushrooms

sriram2397 / titanic-kaggle