supervised-learning-algorithms

There are 3 repositories under supervised-learning-algorithms topic.

• koalaverse / vip

  Variable Importance Plots (VIPs)

  interaction-effectmachine-learningpartial-dependence-plotsupervised-learning-algorithmsvariable-importancevariable-importance-plots
  Language:R 186

• razuswe / PrimaIndianDiabetesprediction

  I used six classification techniques, artificial neural network (ANN), Support Vector Machine (SVM), Decision tree (DT), random forest (RF), Logistics Regression (LR) and Naïve Bayes (NB)

  diabetes-predictiondiseasemachine-learningpythonsupervised-learning-algorithms
  Language:Jupyter Notebook 34

• MauroCE / PythonBRMLtoolbox

  Python 3.7 version of David Barber's MATLAB BRMLtoolbox

  machine-learningbayesian-statisticsbayesian-networkbayesian-inferencegraphical-modelsmatlabmarkov-networksmodel-selectionstatistics-toolboxstatisticsbayesianbayesian-methodsbayesian-optimizationbayesian-networksbayesian-neural-networksbayesian-data-analysissupervised-learningsupervised-machine-learningsupervised-learning-algorithmsbayesian-analysis
  Language:Python 24

• WilliamY97 / Parkinsons-Vocal-Analysis-Model

  Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.

  f1-scorepredicted-ratingsclassifiersupervised-learning-algorithmsstudysupervised-learning
  Language:Python 20

• LeihuaYe / Machine-Learning-Rare-Event-Classification

  With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

  machine-learningmachine-learning-algorithmssupervised-learningsupervised-machine-learningsupervised-learning-algorithmslogistic-regressiondecision-treesknnrandom-forestsvmroc-curveauc
  13

• zhaoxin1124ds / Lithofacies-classification-using-machine-learning

  Supervised classification to predict rock facies and a T-test flow to evaluate the prediction performance.

  random-forestsupervised-learning-algorithmsfaciesadjacent-faciest-testsvm-classifiergradient-boostingknn-classificationmatplotlib
  Language:Jupyter Notebook 13

• felipexw / knn-java-library

  Just a simple implementation of K-Nearest Neighbour algorithm.

  knnknn-classificationknn-classifierknn-algorithmk-nearest-neighboursk-nearest-neighbor-classifiersupervised-learningsupervised-learning-algorithmssupervised-learning-classifierssupervised-machine-learningmachine-learningdata-science
  Language:Java 8

• amberkakkar01 / Diabetes-Predication

  This project uses a Machine learning approach to detect whether the patient has diabetes or not using different machine learning algorithms.

  diabetes-predictiondiabetesdiabetes-dateset-analysisdiabetes-detectiondata-analysismachine-learningpythonsupervised-learning-algorithmsdisease-predictiondiseasepima-indians-diabeteshealth-datakaggle-competitiondata-visualizationdetectionlogistic-regressionmachine-learning-algorithmsdiabetes-predicationpatientdataset
  Language:Jupyter Notebook 7

• Lucasfrota / MachineLearningElasticComponent

  this project aims to be an easy and reusable way to use supervised machine learning techniques

  machine-learningmachine-learning-algorithmsjavaserializationnetbeanscomparisonartificial-intelligencesupervised-machine-learningsupervised-learningsupervised-learning-algorithmsgeneric-programminggeneric-toolpredictionpredictive-analyticsprediction-algorithmprediction-modelhepatitisevaluationcross-validation
  Language:Java 7
• Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

  sergio94al / Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

  Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.

  artificial-intelligenceevolutionary-algorithmsmachine-learningquantum-algorithmsquantum-computingquantum-machine-learninggenetic-algorithmsoptimization-methodsqmlkernel-methodsmultiobjective-optimizationevolutionary-strategyautomatic-machine-learninggenetic-algorithmquantum-inspired-algorithmsupervised-learning-algorithmsclassifiersquantum-kernel
  Language:Jupyter Notebook 7

• clementetienam / Ultra-Fast-Mixture-of-Experts-Regression

  mixture-of-expertsmixture-modelsgaussian-processesdeep-neural-networkssupervised-learning-algorithmsregression-algorithms
  Language:MATLAB 6

• PJalgotrader / ML-USU-Fall21

  ECN 5090- Machine Learning in Economics and Finance (Python)

  machinelearning-pythonsupervised-learning-algorithmsunsupervised-machine-learning
  Language:HTML 6

• shanathvemula / framework_for_superwised_prediction

  This is the framework for supervised algorithms in mechine learning

  pythondjangosckit-learnsupervised-learning-algorithmsdecision-tree-classifiersupport-vector-machinesneural-networkbootstrap4django-file-uploadstatic-filesmedia-filespreprocessingdrop-functionmatplotlibnumpy-arrayspandask-nearest-neighbourslogistic-regressionneural-networks
  Language:JavaScript 5

• jaydipkumar / data-science-r

  Hear All Solution In R Language

  data-science-notebookr-programming-projectsr-languagecluster-algorithmssupervised-machine-learningunsupervised-machine-learningsupervised-learning-algorithmsunsupervised-learning-algorithmsassociation-rule-learningforecasting-algorithmsneural-network-algorithm
  Language:R 4

• Lakshaypahuja21 / Implementation-Machine-Learning-Basics-Notes

  Basic templates of codes for quick ML

  supervised-learning-algorithmssupervised-learningsupervised-machine-learningunsupervised-machine-learningunsupervised-learningreinforcement-learning-algorithmsunsupervised-learning-algorithmsmachine-learning-template-code
  Language:Python 4

• mardavsj / Machine-Learning-Algorithms

  It consists of basic concepts of Machine-Learning with its algorithms.

  algorithmsmachine-learningpythonreinforcement-learning-algorithmssupervised-learning-algorithmsunsupervised-learning-algorithms
  Language:Python 4

• Ashleshk / Machine-Learning-Data-Science-Deep-Learning

  This Repository Consists All Courses, Projects and Online Learning Done in Context of Machine learning, Data Sceince And Deep Learning From Various Sources like Youtube, Coursera, Udemy And WEbsites like Scikit, Keras

  deep-learningmachine-learningudemycourserayoutubedata-sceincesupervised-learningsupervised-learning-algorithmsunsupervised-machine-learningunsupervised-learning-algorithmsdeepdeep-neural-networksdeep-reinforcement-learningqlearning-algorithmopencvopencv-pythonsvm-classifiersemicolon
  Language:Jupyter Notebook 3

• LaxmiChaudhary / Classifying-silhouettes-of-vehicles

  Unsupervised Learning (PCA) on Vehicle dataset

  pcalogistic-regressionsupport-vector-machinenaive-bayes-classificationunsupervised-machine-learningmachine-learningsupervised-machine-learningprincipal-component-analysisprincipal-componentsmachine-learning-algorithmsmachinelearningunsupervised-learning-algorithmsunsupervisedsupervised-learningsupervised-learning-algorithmsnaive-bayes-classifiernaive-bayes-algorithm
  Language:Jupyter Notebook 3

• MachineLearningBCAM / Minimax-risk-classifiers-NeurIPS-2020

  Minimax Classification with 0-1 Loss and Performance Guarantees

  supervised-learningsupervised-learning-algorithmssupervised-classification-methodssupervised-classificationperformance-guaranteesrobust-risk-minimization
  Language:Python 3

• tezam84 / Supervised_Project_Parkinson_disease

  Supervised Machine Learning project with KNN, decision tree, random forest and adaboost algorithms

  accuracy-metricsadaboostclassification-modelconfusion-matrixcorrelation-analysisdecision-treedummyclassfieredaheatmapknnparkinsons-detectionpvaluerandom-forestsupervised-learning-algorithms
  Language:Jupyter Notebook 3

• AF011 / Machine-Learning-Projects-Academic

  Developing Supervised Learning Models Using pandas, numpy, sklearn, seaborn, matplotlib

  dataset-generationdescriptive-statisticspreprocessingsupervised-learning-algorithmsvisulalisationmatplotlibnumpypandasseabornsklearn
  Language:Jupyter Notebook 2

• fsiddh / Machine-Learning-Techniques

  This repository consists of Machine Learning Techniques (Both Supervised and Unsupervised Learning) which you go through for more better and broader understanding of different methods used in solving machine learning problems.

  machine-learningmachine-learning-algorithmsmachinelearning-pythonunsupervised-learningsupervised-machine-learningsupervised-learning-algorithmsclustering-algorithmclusteringregression-algorithmsregressionclassificationclassification-algorithm
  Language:Jupyter Notebook 2

• NandanKumar07 / ML_CODE_REVISIT

  The code in this repository corresponds to exercises, projects, and examples covered in the respective courses of the Machine Learning Specialization. The goal is to review and reinforce the concepts learned during the specialization.

  advance-machine-learningmachine-learning-algorithmssupervised-learning-algorithmsunsupervised-machine-learning
  Language:Jupyter Notebook 2

• neemiasbsilva / lstm-pollution-china

  Using long short term memory networks to analysis the pollution of Beijing, China.

  lstm-neural-networksmachine-learninglong-short-term-memorypollution-predictionchina-regionmodelpandas-dataframedeep-learningchinaforecastforecasting-modelssupervised-learning-algorithmsmachine-learning-algorithm
  Language:Jupyter Notebook 2

• Paulnkk / Columbia-IEOR-4004

  I use a self-implemented Trust-Region-Method to solve the optimization problem and calculate the accuracy based on test data

  logistic-regressiontrust-region-dogleg-algorithmsupervised-machine-learningsupervised-learning-algorithmsnonlinear-optimization
  Language:Python 2

• Paulnkk / Modified-cutting-angle-method

  Modified Cutting angle method based on 'Cutting angle method - a tool for constrained global optimization'

  global-optimizationspline-approximationsupervised-learning-algorithms
  Language:Python 2

• Rajat-dhyani / charity_donors

  In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.

  machine-learningsupervised-learning-algorithmspythonnumpyscikit-learnpandasadaboostrandomforestknearest-neighbor-algorithm
  Language:HTML 2

• sametmemis / FPFS-AC

  A New Classification Method Using Soft Decision-Making Based on an Aggregation Operator of Fuzzy Parameterized Fuzzy Soft Matrices

  classification-algorithmclassifierdecision-makingfpfs-matricesfuzzy-setsmachine-learning-algorithmsoft-decision-makingsoft-matricessoft-setssupervised-learning-algorithmsmachine-learning
  Language:MATLAB 2

• AshishJadhav45 / ML-Project

  This repo has Machine Learning project

  machine-learning-algorithmsmachinelearningnumpypandassupervised-learning-algorithms
  Language:Jupyter Notebook 1
• Machine-Learning-Using-Python

  madhurimarawat / Machine-Learning-Using-Python

  This repository contains machine learning programs in the Python programming language.

  data-cleaningmachine-learning-algorithmspandaspythonscikit-learnbreast-cancer-datasetiris-datasetsupervised-learningwine-datasetmatplotlibdecision-treekaggle-datasetsknnpcarandom-forestsupervised-learning-algorithmssvmunsupervised-learning-algorithmsdeep-learningsingle-neuron-neural-network
  Language:Jupyter Notebook 1

• majd30 / Adult-Income-Prediciton-Model

  This repository features a predictive model aimed at income prediction, classifying individuals into two categories: ">50k" or "<=50k" based on various features. The model is designed to assist in demographic and economic analysis, aiding in the identification of individuals with higher income potential

  classification-algorithmdecision-tree-classifierjupyter-notebooklogistic-regressionrandom-forest-classifiersupervised-learning-algorithms
  Language:Jupyter Notebook 1

• Om29Singh / Diabetes_Prediction

  Diabetes Prediction using Machine Learning

  machine-learningjupyter-notebooksmachine-learning-modelpython3predictionsupervised-learning-algorithmssupport-vector-machines
  Language:Jupyter Notebook 1

• rammathala / Crop-And-fertilizer-recommendation

  A website which predicts the suitable crop and fertilizer based on the soil parameters

  flaskhtml-css-javascriptmaterial-uipythonreactjsmachine-learning-algorithmssupervised-learning-algorithmsnumpypandassklearn-librarymatplotlibpicklexgboost-algorithm
  Language:Jupyter Notebook 1

• Sarah-Hesham-2022 / PendigitsDataset-FromScratch-Simple-KNNClassifier

  Building from scratch simple KNN Classifier without using frameworks built-in functions and applying it on the Pen Digits Dataset.

  artificial-intelligencedatascienek-nearest-neighbor-classifiermachine-learning-algorithmsmodels-generationpendigitsproblem-solvingpython-programmingscratch-implementationsupervised-learning-algorithms
  Language:Jupyter Notebook 1

• shuklayash02 / Diabetes_Prediction_Model

  Diabetes Prediction model Input=(Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age)

  classification-algorithmclassification-modeldiabetes-predictionmachine-learningmachine-learning-algorithmsprediction-modelsupervised-learning-algorithmssupervised-machine-learning
  Language:Jupyter Notebook 1

• VolhaP87 / Twitter_Sentiment_Analysis

  Conducted Twitter sentiment analysis on Google and Apple products. Employed a range of supervised ML algorithms and neural networks to tackle an imbalanced NLP multiclass classification problem. Selected the model with the highest macro F1 score for evaluation.

  neural-networkssupervised-learning-algorithms
  Language:Jupyter Notebook 1