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o-messai / SIQA-SVM-deep

No-reference Stereoscopic Image Quality Predictor using Deep Features from Cyclopean Image

deep-learning feature-extraction svm-learning image-quality-assessment cyclopean-image

Updated Oct 20, 2022
MATLAB

nataljunior / Classifyingr-in-R

Classifying in R Identifying Categories for Customer Complaint’s Mediation Automation

classifier text-mining r text-classification text svm retail svm-training svm-learning svm-classifier retail-data complain

Updated Jun 26, 2019

prashant900555 / ML-svm-red-wine-quality

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Testing the quality of red wine as Good or Bad according to the given parameters from the Kaggle Dataset by using Support Vector Machine supervised ML Algorithm.

python machine-learning jupyter svm machine-learning-algorithms jupyter-notebook svm-learning svm-model svm-classifier kaggle-dataset

Updated Jul 4, 2020
Jupyter Notebook

noernimat / sentiment_analysis_using_supervised_learning

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Sentiment Analyst using Supervised Learning using Women's E-Commerce Clothing Reviews Dataset

sentiment-analysis svm-learning nlp-machine-learning naive-bayes-text-classification

Updated Jan 5, 2021
Jupyter Notebook

utsavchaudharygithub / CovidInfectionAnalysis

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A collaborative project looking into the likelihood of Covid-19 infection in the United States.

machine-learning sql linear-regression plotly jupyter-notebook python3 supervised-learning svm-learning tableau-desktop arima-model ols-regression-model

Updated Apr 8, 2022
Jupyter Notebook

Azizimj / Hyperparameter-robust-simulation-optimization

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Hyperparameter tuning using a robust simulation optimization framework

simulation cnn hyperparameter-optimization robust-optimization svm-learning latin-hypercube-sampling day-night

Updated May 18, 2021
Python

Ohara124c41 / MLND-Finding_Donors

Sponsor

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Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modif…

neural-networks decision-trees regression-models svm-learning naive-bayes-classification adaboosting

Updated Sep 21, 2018
Jupyter Notebook

singhgaurav2323 / classifier

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supervised machine learning classifier model

naive-bayes naive-bayes-classifier logistic-regression naive-bayes-algorithm svm-training svm-learning decision-tree-classifier svm-classifier k-nearest-neighbours classification-algorithm decision-tree-algorithm knn-classification logistic-regression-algorithm random-forest-classifier classification-model random-forest-algorithm kernel-svm-classifier knn-algorithm k-nearest-neighbors-k-nn

Updated Jul 8, 2019
Jupyter Notebook

martinywwan / sparkMLlib

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Spark Machine Learning Library - learning and developing Machine Learning algorithms

scala spark support-vector-machines svm-learning sparkmllib

Updated Aug 1, 2017
Scala

BALaka-18 / SVM-Visualizer-Web-App

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A web application to see effect of C hyperparameter on classification boundary and marginal threshold in SVM.

python web-app svm svm-learning hyperparameter-tuning binary-classification svm-classifier

Updated Dec 8, 2022
HTML

VaghinakBasentsyan / BI

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django sklearn python3 svm-learning svm-model svm-classifier federal-reserve-bank

Updated Jul 6, 2023
Python

nustalgic / Crypto-Algorithmic-Trading-Bot

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We will be creating an algorithmic crypto trading bot that will use the Kraken API to get crypto prices. We will use machine learning to determine the trend of the market from historical data and determine the best strategies/indicators to use.

python machine-learning naive-bayes svm-learning kraken-exchange-api crypto-trading-algorithms

Updated Jul 7, 2022
Jupyter Notebook

BharatMaheshwari96 / StockMarket

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r random-forest linear-regression machine-learning-algorithms r-shiny binary-search-tree logistic-regression svm-learning classification-algorithm decision-tree-regression regression-algorithms continuous-learning visulization navie-bayes-algorithm r-studio discrete-probability

Updated May 31, 2020
R

MuhammadUsmanTipu / SVM-Boosting-DTree-Twitter-Sentiment-Analysis-on-Twitter-Dataset

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What is the relationship between airline sentiments and airlines? What is the reason for the negativity mentioned in the dataset? What is the relation of time with sentiments? Which model is best for sentiment analysis when we do ensemble learning?

python machine-learning twitter deep-learning sentiment-analysis pandas-dataframe pandas dataset ensemble-learning adaboost sentiment-polarity svm-learning svm-model keras-classification-models decision-tree-classifier boosting ensemble-machine-learning boosting-ensemble airlinesentiment

Updated Jan 21, 2023
Jupyter Notebook

ibodumas / linearSVM

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This project involves the implementation of efficient and effective LinearSVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

machine-learning svm sklearn machine-learning-algorithms mnist-classification svm-learning svm-classifier sklearn-classify linearsvm mnist-handwriting-recognition linearsvc

Updated Dec 24, 2017
Jupyter Notebook

noernimat / modeling_dataset_using_supervised_learning

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Machine Learning Models for Absenteeism at Work Dataset

random-forest bigdata decision-tree svm-learning kaggle-dataset knn-classification kneighborsclassifier continous-deployment categorical-data crossvalidation

Updated Jun 9, 2021
Jupyter Notebook

avichaudhary29 / Twitter-sentiment-analysis

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Twitter sentiment analysis allows you to keep track of what's being said about your product or service on social media, and can help you detect angry customers or negative mentions before they they escalate.

python machine-learning svm-learning