support-vector-classifier

There are 0 repository under support-vector-classifier topic.

harismuneer / Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
accuracy-analysis artificial-neural-network comparative-study delta-rule efficiency-analysis handwritten-digit-recognition k-nearest-neighbours knn learning-algorithms-comparison logistic-regression machine-learning-algorithms mnist-classification-logistic mnist-dataset multiclass-perceptron perceptron-learning-algorithm sigmoid-function supervised-machine-learning support-vector-classifier support-vector-machines svm
Language:Python 64
howardyclo / NTHU-Machine-Learning
NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.
machine-learning deep-learning nthu course-materials assignment svm adaboost neural-network svr support-vector-machines support-vector-regression support-vector-classifier deep-neural-networks
Language:Python 21
maximer-v / quantum-machine-learning
This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC).
quantum quantum-algorithms quantum-computing quantum-machine-learning pennylane qiskit qiskit-aqua qiskit-tutorial quantum-programming-language support-vector-classifier support-vector-machines variational-quantum-classifier quantum-kernel qml qml-applications synthetic-data
Language:Jupyter Notebook 21
Ruban2205 / Iris_Classification
This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.
iris-classification iris-dataset k-nearest-neighbor-classifier logistic-regression machine-learning navie-bayes-algorithm support-vector-classifier logistic-regression-algorithm
Language:Jupyter Notebook 13
Ansu-John / Classification-Models
Build and evaluate various machine learning classification models using Python.
logistic-regression-classifier decision-tree-classifier random-forest-classifier knearest-neighbor-classifier support-vector-classifier svm-classifier naive-bayes-classifier machine-learning classification-model
Language:Jupyter Notebook 5
likarajo / premier_league
Predictions for the English Premier League season
sklearn classification logistic-regression support-vector-machine support-vector-classifier k-nearest-neighbors
Language:Jupyter Notebook 5
Diabetic-Patient-Prediction
shaadclt / Diabetic-Patient-Prediction
This project aims to predict diabetic patients using three different classification algorithms: Logistic Regression, Support Vector Classifier, and Random Forest Classifier. The project is implemented using Python and leverages scikit-learn, a popular machine learning library.
logistic-regression random-forest-classifer support-vector-classifier
Language:Jupyter Notebook 5
indrapaul824 / Binary-Classification-Web-App
A web app for visualizing Binary Classification Results using Streamlit module in Python deployed on Heroku.
binary-classification support-vector-classifier logistic-regression random-forest-classifier streamlit-dashboard heroku-deployment machine-learning model-deployment web-app
Language:Python 4
kshitizrohilla / user-purchase-prediction-and-classification-using-support-vector-machine-algorithm
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.
support-vector-classification support-vector-classifier support-vector-machine support-vector-machine-svm support-vector-machines svm svm-classifier svm-kernel svm-model svm-training
Language:Jupyter Notebook 4
shaadclt / Cancer-Classification-SupportVectorClassifier
This repository provides a cancer classification model using Support Vector Classifier (SVC). The model aims to classify cancer cases into benign or malignant based on various features obtained from medical examinations.
support-vector-classifier
Language:Jupyter Notebook 4
tboudart / Life-Expectancy-Regression-Analysis-and-Classification
I contributed to a group project using the Life Expectancy (WHO) dataset from Kaggle where I performed regression analysis to predict life expectancy and classification to classify countries as developed or developing. The project was completed in Python using the pandas, Matplotlib, NumPy, seaborn, scikit-learn, and statsmodels libraries. The regression models were fitted on the entire dataset, along with subsets for developed and developing countries. I tested ordinary least squares, lasso, ridge, and random forest regression models. Random forest regression performed the best on all three datasets and did not overfit the training set. The testing set R2 was .96 for the entire dataset and developing country subset. The developed country subset achieved an R2 of .8. I tested seven different classification algorithms to classify a country as developing or developed. The models obtained testing set balanced accuracies ranging from 86% - 99%. From best to worst, the models included gradient boosting, random forest, Adaptive Boosting (AdaBoost), decision tree, k-nearest neighbors, support-vector machines, and naive Bayes. I tuned all the models' hyperparameters. None of the models overfitted the training set.
pandas numpy seaborn scikit-learn statsmodels ordinary-least-squares ridge-regression lasso-regression random-forest-regression naive-bayes-classifier k-nearest-neighbor-classifier decision-tree-classifier random-forest-classifier support-vector-classifier adaboost-classifier gradient-boosting-classifier jupyter-notebooks python matplotlib-pyplot
Language:Jupyter Notebook 4
absaw / trauma-data-analysis
Integrative Biomechanical and Clinical Features Predict In-Hospital Trauma Mortality
binary-classification extreme-gradient-boosting logistic-regression neural-net random-forest-classifier support-vector-classifier
Language:Jupyter Notebook 3
Jspano95 / Retail-Customer-Classification-Modelling
Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department
classification-models xgboost-classification logistic-regression-algorithm decision-tree-classifier random-forest-classifier knearest-neighbor-classification support-vector-classifier voting-classifier customer-segmentation feature-engineering consumer-insights
Language:Jupyter Notebook 3
krish1919ls / machine_learning_models
Assignments from Applied Machine Learning Class (UTD BUAN-6341)
python linear-regression logistic-regression gradient-descent-algorithm support-vector-classifier decision-tree-classifier adaboost-classifier knn-classifier artificial-neural-networks k-means-clustering expectation-maximization principal-component-analysis independent-component-analysis random-projections hyperparameter-tuning
Language:Jupyter Notebook 3
rifatSDAS / satellite_machine_learning
Unsupervised and supervised learning for satellite image classification
satellite-data rasterio classifications kmeans-clustering support-vector-machines support-vector-classifier scikitlearn-machine-learning scikit-learn scikit-learn-python sentinels sentinel-2 sentinel-1 sentinel-3
Language:Jupyter Notebook 3
SanjarH / Sarcasm-Detection
Project made in Jupyter Notebook with "News Headlines Dataset For Sarcasm Detection" from Kaggle.
data-science logistic-regression machine-learning python sarcasm-detection sgd-classifier support-vector-classifier visualization accuracy bayes-classifier deep-learning early-stopping embeddings global-average-pooling gru keras-tensorflow lstm-neural-networks simplernn
Language:Jupyter Notebook 3
gaurav-bhadane / Diabetes_Predicton
A machine learning project to predict diabetes using a Support Vector Classifier model. It includes data preprocessing, model training, evaluation, and a Flask web application for real-time predictions.
diabetes-prediction flask logistic-regression machine-learning python support-vector-classifier
Language:Jupyter Notebook 2
itsmarmot / Sentiment-Analysis
Sentiment Analysis is NLP technique used to determine the sentiment expressed in a piece of text, which can be positive, negative, or neutral. SVC is a powerful machine learning model that can be used for this purpose due to its effectiveness in handling high-dimensional data.
support-vector-classifier classification machine-learning sentiment-analysis
Language:Jupyter Notebook 2
MatthewCSC / 2020-Heart-Failure-Prediction
This repository contains a notebook that examines the performance of various classification models on the Kaggle dataset: https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data. The best performing model was a Random Forest Classifier with 86.67% accuracy.
decision-tree-classifier heart-failure-prediction knn-classification logistic-regression random-forest-classifier support-vector-classifier machine-learning
Language:Jupyter Notebook 2
MohamedKhalidLx / Loan-Eligibility-Prediction-Web-App
Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.
bernoulli-naive-bayes css csv decision-tree-classifier flask gaussian-naive-bayes-classifier gradient gradient-boosting-classifier html ipython-notebook knn-classifier logistic-regression machine-learning machine-learning-algorithms naive-bayes-classifier pickle python random-forest-classifier support-vector-classifier webapp
Language:Jupyter Notebook 2
NeonOstrich / Predicting-Autism-with-Machine-Learning
Development and comparison of 12 machine learning models to predict autism as well as a discussion of the process.
decision-tree-classifier jupyter-notebook keras-tuner logistic-regression-classifier neural-network random-forest-classifier support-vector-classifier tableau
Language:Jupyter Notebook 2
ROCCYK / Classification
Intro to Machine Learning Assignment 2
iris-dataset knn-classifier support-vector-classifier gaussian-processes-classifier
Language:Jupyter Notebook 2
ROCCYK / DiseasePredictor
Intro to Machine Learning Final Project
decision-tree-classifier gaussian-naive-bayes logistic-regression pca random-forest-classifier support-vector-classifier ensemble-classifier soft-voting
Language:Jupyter Notebook 2
Tekraj15 / MLWebAppForBinaryClassificationOfMushroom
Interactive ML web application will allow users to choose classification algorithm, let them interactively set hyper-parameter values, and Input Image.
random-forest-classifier support-vector-classifier classification-algorithm mushroom machine-learning artificial-intelligence
Language:Python 2
wesbarnett / spam-or-ham
Using a support vector machine to classify emails
machine-learning support-vector-machine support-vector-classifier scikit-learn python
Language:Jupyter Notebook 2
adler-sudo / atac-seq-analysis
Visualize scATAC-seq profiles using PCA and UMAP. Construct a support vector classifier (SVC) to predict cell type given ATAC-seq expression profile.
machine-learning principal-component-analysis support-vector-classifier umap dimensionality-reduction atac-seq
Language:Python 1
amatov / SegmentationBiomarkerCTC
Our image analysis software performs segmentation of the cellular areas with cell surface expression of the prostate-specific membrane antigen to improve the precision of therapy and its customization
metastatic-cancer-detection image-segmentation wavelet-transform microfluidic-chip 3d-segmentation active-contour-model watershed-segmentation support-vector-classifier hough-transform-circle circulating-tumor-cells clinical-trials nucleus-segmentation nucleus-contour prostate-specific-prostate-antigen psma-contour psma-segmentation transcription-factor-localization tubulin-bundling tubulin-tyrosination multiplex-microscopy
Language:C 1
Neo-Panther / ML-Project-Predicting-Crime-Rate
ML Project implementing decision trees, boosting and svm classification from scratch.
decision-tree-classifier machine-learning python3 support-vector-classifier jupyter-notebook adaboost-classifier classification
Language:Jupyter Notebook 1
paschalugwu / alx-data_science-NLP
Empowering Advanced Text Classification and Wine Quality Prediction with Cutting-Edge Machine Learning Techniques.
data-preprocessing hyperparameter-tuning model-optimization natural-language-processing support-vector-classifier text-classification wine-quality-prediction
Language:Jupyter Notebook 1
psavarmattas / Stroke-Prediction-ML-Model
This is just a theoretical Machine Learning Model that will analyze the data and determine where the stroke can occur.
machine-learning python classification decision-tree-classifier knearest-neighbor-classifier logistic-regression multi-layer-perceptron random-forest scikit-learn sklearn stacking-classifier support-vector-classifier
Language:Jupyter Notebook 1
revanthchristober / Facial-Recognition-System
A Facial Recognition System using Python, OpenCV, Dlib. This project includes data preprocessing, face detection, feature extraction, and model training. Explore the LFW dataset, train a Support Vector Classifier, and implement real-time face recognition. Comprehensive notebooks and scripts guide each step.
computer-vision deep-learning dlib face-detection lfw-dataset opencv support-vector-classifier
Language:Jupyter Notebook 1
ROCCYK / EnsembleLearning
Intro to Machine Learning Assignment 3
adult-dataset bagging-classifier decision-tree-classifier ensemble-learning logistic-regression random-forest-classifier soft-voting support-vector-classifier voting-classifier
Language:Jupyter Notebook 1
sai-manas / Diabetes_Predictor_ML
Diabetes Predictor Web App Predict diabetes in patients using classification models such as Logistic Regression, Decision Tree, Naive Bayes, and Support Vector Machines. It is deployed in a Flask web application on AWS Elastic Beanstalk.
data-science decision-tree-classifier diabetes-prediction logistic-regression machine-learning-algorithms naive-bayes-classifier python3 support-vector-classifier
Language:Jupyter Notebook 1
somenath203 / Suicide-Depression-Predictor
Click below to checkout the website live
fastapi jupyter machine-learning ml react reactjs render support-vector-classifier support-vector-machine sweetalert2 tailwind tailwindcss vercel docker dockerfile
Language:Jupyter Notebook 1
sukruta230901 / Machine-Learning-KNN-SVM-LAB
This repository contains the Lab practices of Machine Learning performed in Jupyter Notebook using python language. This repo consists of KNN and SVM Classification models to perform classification on the iris dataset.
machine-learning knn k-nearest-neighbor-classifier svm support-vector-classifier
Language:Jupyter Notebook 1
temulenbd / dublin-parking-suspensions-analysis
PROJECT NAME: Exploration and analysis of publicly available data: suspension of parking bays in Dublin City Council.
data-manipulation eda gradient-boosting-regressor k-nearest-neighbours lasso-regression linear-regression logistic-regression poisson-distribution public-data random-forest random-forest-regression ridge-regression statistical-analysis support-vector-classifier xgboost
Language:Jupyter Notebook 1

support-vector-classifier

harismuneer / Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

howardyclo / NTHU-Machine-Learning

maximer-v / quantum-machine-learning

Ruban2205 / Iris_Classification

Ansu-John / Classification-Models

likarajo / premier_league

shaadclt / Diabetic-Patient-Prediction

indrapaul824 / Binary-Classification-Web-App

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

shaadclt / Cancer-Classification-SupportVectorClassifier

tboudart / Life-Expectancy-Regression-Analysis-and-Classification

absaw / trauma-data-analysis

Jspano95 / Retail-Customer-Classification-Modelling

krish1919ls / machine_learning_models

rifatSDAS / satellite_machine_learning

SanjarH / Sarcasm-Detection

gaurav-bhadane / Diabetes_Predicton

itsmarmot / Sentiment-Analysis

MatthewCSC / 2020-Heart-Failure-Prediction

MohamedKhalidLx / Loan-Eligibility-Prediction-Web-App

NeonOstrich / Predicting-Autism-with-Machine-Learning

ROCCYK / Classification

ROCCYK / DiseasePredictor

Tekraj15 / MLWebAppForBinaryClassificationOfMushroom

wesbarnett / spam-or-ham

adler-sudo / atac-seq-analysis

amatov / SegmentationBiomarkerCTC

Neo-Panther / ML-Project-Predicting-Crime-Rate

paschalugwu / alx-data_science-NLP

psavarmattas / Stroke-Prediction-ML-Model

revanthchristober / Facial-Recognition-System

ROCCYK / EnsembleLearning

sai-manas / Diabetes_Predictor_ML

somenath203 / Suicide-Depression-Predictor

sukruta230901 / Machine-Learning-KNN-SVM-LAB

temulenbd / dublin-parking-suspensions-analysis