linear-kernel

Python-based web application, Flask platform, utilizes a powerful Content-Based Filtering Algorithm to provide personalized recommendations excercises

mongodb flask-application cosine-similarity content-based-recommendation linear-kernel tfidfvectorizer

UpdatedFeb 3, 2024
Python

UnixJunkie /orsvm-e1071

Star4

Access the Linear or RBF kernel SVM from OCaml using the R e1071 or svmpath packages

r svm rbf-kernel ocaml-library classification libsvm svmpath linear-kernel binary-classifier

UpdatedMar 9, 2020
OCaml

avestura /scikit-heart-disease-classifier

Star3

💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more

svm rbf-kernel pca pruning confusion-matrix roc decision-tree decision-tree-classifier svm-classifier linear-kernel one-hot-encoding grid-search-cross-validation cost-complexity-pruning poly-kernel sigmoid-kernel

UpdatedDec 10, 2020
Jupyter Notebook

J4NN0 /machine-learning-pca-svm

Star3

PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM

machine-learning rbf-kernel machine-learning-algorithms dataset naive-bayes-classifier pca-analysis svm-training svm-classifier naive-bayes-classification classification-algorithm machine-learning-models machine-learning-tutorials machine-learning-practice kfold-cross-validation training-dataset naive-bayes-implementation linear-kernel pca-implementation pca-mode-visualization pca-predict

UpdatedApr 14, 2023
Python

AyanPahari /SVM-on-GISETTE-Dataset

Star2

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.

svm rbf-kernel jupyter-notebook python3 kernels handwritten-digit-recognition linear-kernel

UpdatedDec 25, 2021
Jupyter Notebook

erfanresume /HeartAttack-Prediction-Classification

Star2

In this project, I predict whether a patient has a low or high chance of having a heart attack using classification

visualization rbf-kernel logistic-regression preprocessing support-vector-machines saga sag linear-kernel lbfgsb-solver poly-kernel sigmoid-kernel liblinear-solver newton-cg-solver newton-cholesky-solver

UpdatedNov 23, 2024
Jupyter Notebook

farooqueesamiya /Social-Network-Ads-Classification-Models

Star1

In this repository, we will explore different classification models to predict whether a user will purchase a product based on age and estimated salary.

rbf-kernel naive-bayes-classifier logistic-regression support-vector-machine decision-tree-classifier random-forest-classifier classification-model knn-classifier svc-model linear-kernel

UpdatedAug 17, 2023
Python

saipavani68 /SVM

Star1

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.

python machine-learning rbf-kernel scikit-learn matplotlib svm-classifier polynomial-kernel linear-kernel kernelsvm accuracy-scores

UpdatedSep 29, 2020
Python

fpaupier /spam_classifier

Star1

A simple spam classifier using SVM with a linear kernel.

learning statistics matlab svm machine statistical-learning coursera-machine-learning svm-training svm-learning svm-classifier statistical-models coursera-assignment statistics-learning linear-kernel

UpdatedSep 29, 2019
MATLAB

Gajju4 /Heart-Disease-Prediction-using-Support-Vector-Machine.

Star0

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.

rbf-kernel support-vector-machines from-scratch polynomial-kernel linear-kernel

UpdatedMar 25, 2023
Python

HamzaSajjad141 /ML-Diabetes

Star0

Predicting Diabetes Mellitus Using Machine Learning Techniques 🩺🤖

numpy rbf-kernel scikit-learn eda pandas seaborn matplotlib roc-curve svm-classifier normalization linear-kernel

UpdatedFeb 20, 2024
Jupyter Notebook

tgchacko /Movie-Recommender

Star0

Movie Recommender

python movie movie-database collaborative-filtering tf-idf cosine-similarity svd rmse countvectorizer mae content-based-recommendation imdb-dataset linear-kernel popularity-recommender

UpdatedMay 27, 2024
Jupyter Notebook

Kshitij-Shresth /Loan-Status-Prediction

Star0

Loan approval system using svm

risk-analysis svm correlation-analysis stratified-sampling linear-kernel

UpdatedSep 28, 2024
Python

Sushama-Rangarajan /SupportVectorMachines

Star0

Hyperparameter tuning using Support Vector Machine kernels

machine-learning r rmarkdown support-vector-machines hyperparameter-tuning radial-kernel polynomial-kernel linear-kernel

UpdatedFeb 11, 2021

abideen-olawuwo /netflix

Star0

A recommendation engine

python numpy sklearn plotly pandas seaborn netflix matplotlib linear-kernel tfidf-vectorizer

UpdatedMay 30, 2023
Jupyter Notebook

Gulshank0719 /Support-Vector-Machines-Classifier

Star0

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.

rbf-kernel support-vector-machines polynomial-kernel linear-kernel sigmoid-kernel