supervised-learning-algorithms

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)

MauroCE/PythonBRMLtoolbox

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

WilliamY97/Parkinsons-Vocal-Analysis-Model

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

LeihuaYe/Machine-Learning-Rare-Event-Classification

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

zhaoxin1124ds/Lithofacies-classification-using-machine-learning

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

amberkakkar01/Diabetes-Predication

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

felipexw/knn-java-library

Just a simple implementation of K-Nearest Neighbour algorithm.

Lucasfrota/MachineLearningElasticComponent

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

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.

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

PJalgotrader/ML-USU-Fall21

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

shanathvemula/framework_for_superwised_prediction

This is the framework for supervised algorithms in mechine learning

jaydipkumar/data-science-r

Hear All Solution In R Language

Lakshaypahuja21/Implementation-Machine-Learning-Basics-Notes

Basic templates of codes for quick ML

mardavsj/Machine-Learning-Algorithms

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

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

LaxmiChaudhary/Classifying-silhouettes-of-vehicles

Unsupervised Learning (PCA) on Vehicle dataset

MachineLearningBCAM/Minimax-risk-classifiers-NeurIPS-2020

Minimax Classification with 0-1 Loss and Performance Guarantees

tezam84/Supervised_Project_Parkinson_disease

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

AF011/Machine-Learning-Projects-Academic

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

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.

madhurimarawat/Machine-Learning-Using-Python

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

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.

neemiasbsilva/lstm-pollution-china

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

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

Paulnkk/Modified-cutting-angle-method

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

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.

rammathala/Crop-And-fertilizer-recommendation

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

sametmemis/FPFS-AC

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

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.

tdishant/Banknote-Authentication

Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been implemented from scratch and have been applied on banknote authentication dataset. The goal of this project is to calculate and compare the accuracy of these algorithms in differentiating counterfeit bank notes from legitimate notes

AshishJadhav45/ML-Project

This repo has Machine Learning project

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

Om29Singh/Diabetes_Prediction

Diabetes Prediction using Machine Learning

shuklayash02/Diabetes_Prediction_Model

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