linear-kernel
There are 24 repositories under linear-kernel topic.
luisdrita/HyperFoods
It was built a web application as a step forward in building a 3D recommendation system.
AsadiAhmad/Loan-Prediction-SVM
Predicting Loan State with SVM method, preprocessing and feature selction
RalphGradien/HomeWorkoutRecommendations
Python-based web application, Flask platform, utilizes a powerful Content-Based Filtering Algorithm to provide personalized recommendations excercises
UnixJunkie/orsvm-e1071
Access the Linear or RBF kernel SVM from OCaml using the R e1071 or svmpath packages
avestura/scikit-heart-disease-classifier
💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more
J4NN0/machine-learning-pca-svm
PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
AyanPahari/SVM-on-GISETTE-Dataset
GISETTE is a handwritten digit recognition problem. The problem is to separate the highly confusible digits ‘4’ and ‘9’. This dataset is one of five datasets of the NIPS 2003 feature selection challenge.
erfanresume/HeartAttack-Prediction-Classification
In this project, I predict whether a patient has a low or high chance of having a heart attack using classification
farooqueesamiya/Social-Network-Ads-Classification-Models
In this repository, we will explore different classification models to predict whether a user will purchase a product based on age and estimated salary.
fpaupier/spam_classifier
A simple spam classifier using SVM with a linear kernel.
saipavani68/SVM
This code reads a dataset i.e, "Heart.csv". Preprocessing of dataset is done and we divide the dataset into training and testing datasets. Linear, rbf and Polynomial kernel SVC are applied and accuracy scores are calculated on the test data. Also, a graph is plotted to show change of accuracy with change in "C" value.
abideen-olawuwo/netflix
A recommendation engine
Gajju4/Heart-Disease-Prediction-using-Support-Vector-Machine.
Created a model from scratch (without using any libraries) to predict whether a person have a heart diseases using support vector machine. and then compare the model's accuracy with model created using Sklearn library.
Kshitij-Shresth/Loan-Status-Prediction
Loan approval system using svm
lurenss/Spam-filter
Second assignment of Artificial Intelligence course held by Professor Andrea Torsello of Ca' Foscari University of Venice, spam detectors with SVM classification using linear, polynomial of degree 2, RBF kernels and Naive Bayes and k-NN
SaraLittleSquirrel/Obesity-estimator
Project for Machine Learning Data Mining course
Sushama-Rangarajan/SupportVectorMachines
Hyperparameter tuning using Support Vector Machine kernels
tgchacko/Movie-Recommender
Movie Recommender
AyanPahari/Soft-Margin-SVM
We will apply soft-margin SVM to handwritten digits from the processed US Postal Service Zip Code data set.
Davityak03/SVM-ML-model-using-different-types-of-kernels-
I have implemented support vector machine classifier on the same dataset but using different kernels and have compared their accuracies with each other
Gulshank0719/Support-vector-machine
Building a smodel using SVC
Gulshank0719/Support-Vector-Machines-Classifier
Support Vector Machines (SVMs in short) are supervised machine learning algorithms that are used for classification and regression purposes. In this kernel, I have build a Support Vector Machines classifier to classify a Pulsar star. I have used the Predicting a Pulsar Star dataset for this project.
HamzaSajjad141/ML-Diabetes
Predicting Diabetes Mellitus Using Machine Learning Techniques 🩺🤖
SaisriramVaddadi/machine-learning-spam-classifier
It is based on support vector machines ,first we used linear kernel for lesser featured dataset, Gaussian kernel for more complex dataset.