Data

Tools

Indexes

Applications

Experiments

Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: polynomial-kernel

bestEff0rts/quantamental

ml, statistical learning, econometrics

Language: R - Size: 161 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

ahcen23/x-DTT

Easy to use x-DTT MATLAB package for DTT and Integer DTT transform kernel generation

Language: MATLAB - Size: 204 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

SCUS3/Wage-Regression-Analysis

This project provides a comprehensive guide to implementing PCA from scratch and validating it using scikit-learn's implementation. The visualizations help in understanding the data's variance and the effectiveness of dimensionality reduction.

Language: Python - Size: 18.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AmishaSomaiya/Machine-Learning

Machine Learning Code Implementations in Python

Language: Python - Size: 36.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

ZahirAhmadChaudhry/Pulsar_dataset_Classification_using_SVM

This project focuses on classifying pulsar stars using the Support Vector Machine (SVM) algorithm, a powerful method in the realm of supervised learning. The goal is to automate the identification process of pulsar stars from candidates collected during surveys, based on predictive modeling.

Language: Python - Size: 70.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SaraLittleSquirrel/Obesity-estimator

Project for Machine Learning Data Mining course

Language: Jupyter Notebook - Size: 5.63 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

opeajibuwa/Sentiment-Analysis-with-Support-Vector-Machines

Classification of tweets as positive or negative sentiments using different SVM kernels

Language: Jupyter Notebook - Size: 1 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

DanShai/kernalized-tsne

kernalized t-Distributed Stochastic Neighbor Embedding (t-SNE)

Language: Python - Size: 3.57 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 4

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.

Language: Python - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

SaumyaBhandari/Support_Vector_Machine

A SVM classifier created to classify data on the IRIS dataset. A linear SVM as well as a Radial Basis SVM was created and also a polynomial kernel was created which classifies the data correctly to their original class.

Language: Jupyter Notebook - Size: 119 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

AyanPahari/Soft-Margin-SVM

We will apply soft-margin SVM to handwritten digits from the processed US Postal Service Zip Code data set.

Language: Jupyter Notebook - Size: 90.8 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

esra-polat/learning-from-data-homeworks

Language: Python - Size: 26.4 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

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

Language: Python - Size: 142 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

being-aerys/Machine_Learning_CS534_Fall-2018

Linear Regression with L2 Regularization, Online, Average, and Polynomial Kernel Perceptron for Optical Character Recognition, Decision Tree Ensemble, Random Forest, AdaBoost

Language: Python - Size: 77.6 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

znreza/supervised_classification

This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python

Language: Python - Size: 26.4 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Related Keywords
polynomial-kernel 15 rbf-kernel 8 machine-learning 8 linear-kernel 4 support-vector-machines 4 python 4 scikit-learn 3 cross-validation 3 linear-regression 3 svm 3 radial-basis-function 3 svm-classifier 3 perceptron 2 naive-bayes-classifier 2 python3 2 rbf 2 numpy 2 adaboost 2 decision-tree 2 random-forest 2 matplotlib 1 classification 1 kernelsvm 1 iris-classification 1 supervised-learning 1 accuracy-scores 1 tsne-algorithm 1 tsne 1 pca-analysis 1 kernel 1 fourier 1 anova-kernels 1 twitter-sentiment-analysis 1 voting-classifier 1 sklearn 1 kernel-ridge-regression 1 roc-curve 1 roc-auc 1 pattern-recognition 1 pattern-classification 1 naive-bayes-algorithm 1 naive-bayes 1 knn 1 k-nearest-neighbours 1 k-fold 1 best-value-for-k-in-knn 1 10-fold-cross-validation 1 ensemble-learning 1 average-perceptron 1 k-nn 1 regularization 1 neural-network 1 logistic-regression 1 gradient-descent 1 generalization 1 deep-learning 1 jupyter-notebook 1 vector 1 linear-models 1 linear-algebra 1 coordinate-descent-algorithm 1 central-limit-theorem 1 wage-regression-analysis 1 pandas-library 1 model-training-and-evaluation 1 model-compression 1 feature-engineering 1 error-metrics 1 data-loading-and-parsing 1 matlab 1 dtt 1 splines 1 reguralization 1 radial-kernel 1 polynomial-regression 1 non-linear-model 1 multiple-linear-regression 1 generalized-additive-models 1 gams 1 boosting 1 bagging 1 anova 1 pandas 1 k-neighbors 1 extra-trees 1 data-preprocessing-pipelines 1 data-mining 1 rbf-svm 1 pulsars 1 machine-learning-algorithms 1 linear-svm 1 vision-representations 1 simclr 1 self-supervised-learning 1 representation-learning 1 regularized-logistic-regression 1 pytorch 1 principal-component-analysis 1 neural-networks 1 native-python 1