GitHub topics: supervised-learning-algorithms

Repositories

yeshapan/machine-learning-algorithms

A beginner-friendly collection of basic machine learning algorithm implementations using simple datasets. This repo includes step-by-step notebooks covering fundamental concepts like regression, classification, and clustering — all with popular libraries like scikit-learn. All datasets used are uploaded here as well.

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adnaen/machine-learning-notes

A collection of insightful ML notes 🤖 from my learning journey , 🤗 feel free to explore and learn!

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LatiefDataVisionary/supervised-machine-learning-college-task

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LeihuaYe/Machine-Learning-Rare-Event-Classification

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

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RenatoMaynard/Supervised-Machine-Learning-Models-Pytorch-Sklearn

This repository provides a comprehensive implementation of supervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models

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madhurimarawat/Machine-Learning-Using-Python

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

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DevWaqarAhmad/Polynomial_Regression

This repository explores Polynomial Regression for modeling non-linear relationships.

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viiku/ml-journey

Learning about Machine Learning

Language: Python - Size: 937 KB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Molingejr/machine_learning_models

Applying machine learning models to make predictions and find patterns within data

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mardavsj/Machine-Learning-Algorithms

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

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VivekRamchandani/ML-Basics

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AriannaRigamonti/MachineLearning

Machine learning project for predictive modeling and data analysis, implementing feature engineering, model training, and evaluation techniques.

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imnotamr/AI

A collection of machine learning and AI projects implemented in Jupyter notebooks, covering regression, classification, and neural networks

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koalaverse/vip

Variable Importance Plots (VIPs)

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neemiasbsilva/lstm-pollution-china

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

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kayakalison/data-imbalance-dp

Exploring the impact of data imbalance on ε-Differential Privacy using diffprivlib.

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Sarah-2510/Supervised-Machine-Learning-Algorithms

This repository contains different Supervised Machine Learning algorithms written in python.

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svalbuenaa/comparison-supervised-learning-algorithms

Evaluating performance of supervised learning algori¡ithms in datasets with different structure

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DaramolaDoes/supervised-learning-algorithms-condos-manhattan-ny

My 2024 supervised learning algorithms for predicting the price of condo real estate in Manhattan, NY (10282 zip-code)

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gobind452/MLImplementations

Implementations of various Machine Learning Algorithms

Language: Python - Size: 51.8 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

MalharK7/An-Comparative-Analysis-of-Various-Supervised-Classification-Algorithms-for-Predicting-Diabetes-Dise

An Comparative Analysis of Various Supervised Classification Algorithms for Predicting Diabetes Disease.

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DaramolaDoes/2024-supervised-learning-algorithms-single-family-plymouth-ma

My 2024 supervised learning algorithms for predicting the price of single family real estate in Plymouth, MA

Language: Python - Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

DaramolaDoes/machine-learning-uk-covid19

My Python machine learning 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities for London, UK.

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DaramolaDoes/supervised-learning-chicago-covid19

My Python data science 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities in Chicago, IL.

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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.

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AF011/Machine-Learning-Projects-Academic

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

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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.

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sametmemis/PFS-kNN

Picture Fuzzy Soft k-Nearest Neighbor

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PJalgotrader/ML-USU-Fall21

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

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LaxmiChaudhary/Classifying-silhouettes-of-vehicles

Unsupervised Learning (PCA) on Vehicle dataset

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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.

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felipexw/knn-java-library

Just a simple implementation of K-Nearest Neighbour algorithm.

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RohanUCLesnar/Heart-Disease-Prediction-Using-Machine-Learning-CS892

CSE Final Year Project. Heart Disease Prediction using Supervised Learning namely - Logistic Regression, Naive Bayes, K-NN, Decision Tree and Random Forest. The Porject is done in Python.

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majd30/Flight-Ticket-Price-Prediction-Model

This repository hosts a predictive model designed to estimate flight ticket prices. Using historical flight data, the model employs machine learning algorithms for Regression like : Decision Tree , Random Forest and Linear Regression to forecast ticket prices, aiding travelers in making informed booking decisions and airlines in optimizing pricing

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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

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Merna-Atef/LSVT-classification

LSVT classification algorithm

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sametmemis/FPFS-AC

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

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MachineLearningBCAM/Minimax-risk-classifiers-NeurIPS-2020

Minimax Classification with 0-1 Loss and Performance Guarantees

Language: Python - Size: 99 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1

JuzerShakir/Finding-Donors-CharityML 📦

Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.

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Om29Singh/Diabetes_Prediction

Diabetes Prediction using Machine Learning

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AshishJadhav45/ML-Project

This repo has Machine Learning project

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Educorreia932/FEUP-IART

🧠 MIEIC 2020/2021 - 3ʳᵈ year / 2ⁿᵈ semester

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1brahimmohamed/AI-in-Medical-Fields

From Scratch Implemented Machine Learning Classifiers Algorithms for AI in Medical Fields Coursework (SBE3021)

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Faisal-AlDhuwayhi/Finding-Donors

Finding Donors for CharityML using supervised learners.

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rambodazimi/House-price-prediction Fork of mahdimoghassemi/House-price-prediction

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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)

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rammathala/Crop-And-fertilizer-recommendation

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

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sametmemis/FPFS-kNN

Fuzzy Parameterized Fuzzy Soft 𝑘-Nearest Neighbor Classifier

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shuklayash02/Diabetes_Prediction_Model

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

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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

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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.

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WilliamY97/Parkinsons-Vocal-Analysis-Model

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

Language: Python - Size: 3.05 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 18 - Forks: 6

sugarocket/End-to-end-ML-data-analysis-project

An end-to-end machine learning project for predicting wine quality

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MauroCE/PythonBRMLtoolbox

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Language: Python - Size: 690 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 22 - Forks: 3

zhaoxin1124ds/Lithofacies-classification-using-machine-learning

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

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iam-mhaseeb/Predicting-Terrorist-Attack-with-Machine-Learning 📦

This repo is implementation of predicting terrorist attack globally using global terrorism database.

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PaulaSanches/TrainingModels

Laboratory with random forest, logistic regression and SVM. The dataset used for this test is a set of points generated randomly with the following specification: • Number of Samples: 1200 • Number of Classes: 3 • Number of Features: 2 (Length and Width).

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