support-vector-classifier

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

OSSpk / 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.
comparative-study machine-learning-algorithms supervised-machine-learning k-nearest-neighbours support-vector-machines support-vector-classifier multiclass-perceptron artificial-neural-network learning-algorithms-comparison handwritten-digit-recognition mnist-dataset mnist-classification-logistic delta-rule perceptron-learning-algorithm accuracy-analysis efficiency-analysis logistic-regression sigmoid-function knn svm
Language:Python 59
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 19
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 17
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
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 4
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
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 3
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 3
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 3
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 2
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 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
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 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
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 1
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
aryapangestu / Spada_Klasfikasi-Kualitas-Udara
Dari dataset tersebut akan mengklasifikasi kualitas pencemaran udara berdasarkan kategori perhitungan indeks standar pencemaran udara. Dimana dataset Indeks Standar Pencemaran Udara (ISPU) Tahun 2021 yang didapatan dari website Jakarta Open data dengan link: https://data.jakarta.go.id/dataset/indeks-standar-pencemaran-udara-ispu-tahun-2021
artificial-intelligence decision-tree-classifier heroku random-forest-classifier support-vector-classifier python
Language:Python 1
denistanjingyu / Improving-National-Financial-Well-Being-Through-Machine-Learning-and-Artificial-Intelligence
Predicting financial well-being through survey data from the Consumer Financial Protection Bureau
python machine-learning data-science supervised-learning finance business-analytics social-sciences artificial-intelligence singapore binary-encoding pandas keras scikit-learn logistic-regression decision-trees random-forest xgboost bernoulli-naive-bayes support-vector-classifier neural-network
Language:Jupyter Notebook 1
gracengu / multiclass_classification
[Completed] Complete framework on multi-class classification covering EDA using x-charts and Principle Component Analysis; machine learning algorithms using LGBM, RF, Logistic Regression and Support Vector Algorithms; as well as Bayesian Optimizer with l1 and l2 regularization for Hyperparameter Tuning.
principle-component-analysis lightgbm-classifier random-forest support-vector-classifier bayesian-optimization regularization
Language:Jupyter Notebook 1
Machine-Learning
kumarpython / Machine-Learning
Machine Learning with Python, Numpy & SciKitLearn
machine-learning numpy scikit-learn matplotlib clustering feature-engineering feature-selection gmm-clustering heirarchical-clustering kmeans-clustering knn-classification linear-regression logistic-regression seaborn supervised-learning support-vector-classifier support-vector-machines support-vector-regression unsupervised-learning
Language:Jupyter Notebook 1
LarryLoveIV / Customer-Churn-Analysis
Customer Churn Analysis
python jupyter-notebook data-science random-forest support-vector-classifier pandas sklearn exploratory-data-analysis logistic-regression smote customer-churn-analysis
Language:Jupyter Notebook 1
likarajo / currencynote_authenticity
Classification to predict whether a bank currency note is authentic or not based on variance of the image wavelet transformed image, skewness, entropy, and curtosis of the image using Machine Learning classifiers.
classification random-forest-classifier grid-search python3 jupyter-notebook decision-tree-classifier support-vector-classifier
Language:Jupyter Notebook 1
lionelsamrat10 / Iris-Flower-Prediction-Machine-Learning-Web-App
Created a web app, that predicts the type of flower using Iris Dataset by the University of California, Irvine
python machine-learning iris-dataset classification support-vector-machines support-vector-classifier jinja2 flask
Language:HTML 1
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 1
mdkearns / credit-approval-prediction
Predicting whether or not a customer will be approved for a credit card based on 15 predictor variables.
data-science data-analysis data-preprocessing svm random-forest random-forest-classifier support-vector-classifier support-vector-machine python pandas numpy scikit-learn machine-learning
Language:Jupyter Notebook 1
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 1
NottyNerd / GenderClassifier
support-vector-classifier gender-classification python naive-bayes-classifier
Language:Python 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
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
sherwyn11 / Skylearn.py
A simple Flask application for data preprocessing, visualization and classification
flask machine-learning classification naive-bayes-classifier linear-classifier support-vector-classifier decision-tree-classifier random-forest-classifier html-css-javascript chartsjs numpy pandas
Language:Python 1
somjit101 / Human-Activity-Recognition
This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.
uci-machine-learning uci-har-dataset eda seaborn-plots feature-engineering signal-processing t-sne grid-search logistic-regression support-vector-classifier rbf-kernel support-vector-machine decision-tree-classifier random-forest-classifier gradient-boosting-classifier scikit-learn tensorflow keras lstm human-activity-recognition
Language:Jupyter Notebook 1
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 1
MylieMudaliyar / Credit-Card-Fraud-Detection
Credit Fraud Detection of a highly imbalanced dataset of 280k transactions. Multiple ML algorithms(LogisticReg, ShallowNeuralNetwork, RandomForest, SVM, GradientBoosting) are compared for prediction purposes.
data-science gradient-boosting-classifier imbalanced-data logistic-regression machine-learning-algorithms random-forest-classifier shallow-neural-network support-vector-classifier under-sampling
Language:Jupyter Notebook

support-vector-classifier

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

howardyclo / NTHU-Machine-Learning

maximer-v / quantum-machine-learning

Ruban2205 / Iris_Classification

indrapaul824 / Binary-Classification-Web-App

rifatSDAS / satellite_machine_learning

Jspano95 / Retail-Customer-Classification-Modelling

likarajo / premier_league

shaadclt / Cancer-Classification-SupportVectorClassifier

shaadclt / Diabetic-Patient-Prediction

Ansu-John / Classification-Models

krish1919ls / machine_learning_models

ROCCYK / Classification

ROCCYK / DiseasePredictor

SanjarH / Sarcasm-Detection

Tekraj15 / MLWebAppForBinaryClassificationOfMushroom

wesbarnett / spam-or-ham

absaw / trauma-data-analysis

adler-sudo / atac-seq-analysis

aryapangestu / Spada_Klasfikasi-Kualitas-Udara

denistanjingyu / Improving-National-Financial-Well-Being-Through-Machine-Learning-and-Artificial-Intelligence

gracengu / multiclass_classification

kumarpython / Machine-Learning

LarryLoveIV / Customer-Churn-Analysis

likarajo / currencynote_authenticity

lionelsamrat10 / Iris-Flower-Prediction-Machine-Learning-Web-App

MatthewCSC / 2020-Heart-Failure-Prediction

mdkearns / credit-approval-prediction

NeonOstrich / Predicting-Autism-with-Machine-Learning

NottyNerd / GenderClassifier

psavarmattas / Stroke-Prediction-ML-Model

sai-manas / Diabetes_Predictor_ML

sherwyn11 / Skylearn.py

somjit101 / Human-Activity-Recognition

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

MylieMudaliyar / Credit-Card-Fraud-Detection