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Projects in Awesome Lists tagged with supervised-machine-learning

A curated list of projects in awesome lists tagged with supervised-machine-learning .

https://github.com/emilhvitfeldt/smltar

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

bookdown supervised-machine-learning text-analysis

Last synced: 16 May 2025

https://github.com/EmilHvitfeldt/smltar

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

bookdown supervised-machine-learning text-analysis

Last synced: 14 Jul 2025

https://github.com/juliasilge/supervised-ML-case-studies-course

Supervised machine learning case studies in R! 💫 A free interactive tidymodels course

machine-learning online-course rstats supervised-machine-learning

Last synced: 14 Mar 2025

https://github.com/juliasilge/supervised-ml-case-studies-course

Supervised machine learning case studies in R! 💫 A free interactive tidymodels course

machine-learning online-course rstats supervised-machine-learning

Last synced: 07 Apr 2025

https://github.com/munich-quantum-toolkit/predictor

MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

quantum-circuit quantum-compiler reinforcement-learning supervised-machine-learning

Last synced: 23 Jun 2025

https://github.com/harismuneer/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.

accuracy-analysis artificial-neural-network comparative-study delta-rule efficiency-analysis handwritten-digit-recognition k-nearest-neighbours knn learning-algorithms-comparison logistic-regression machine-learning-algorithms mnist-classification-logistic mnist-dataset multiclass-perceptron perceptron-learning-algorithm sigmoid-function supervised-machine-learning support-vector-classifier support-vector-machines svm

Last synced: 16 Jul 2025

https://github.com/harismuneer/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.

accuracy-analysis artificial-neural-network comparative-study delta-rule efficiency-analysis handwritten-digit-recognition k-nearest-neighbours knn learning-algorithms-comparison logistic-regression machine-learning-algorithms mnist-classification-logistic mnist-dataset multiclass-perceptron perceptron-learning-algorithm sigmoid-function supervised-machine-learning support-vector-classifier support-vector-machines svm

Last synced: 09 Apr 2025

https://github.com/yashksaini-coder/multi-class-prediction-of-obesity-risk

Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.

lgbm lgbmregressor machine-learning machine-learning-algorithms pipeline prediction prediction-model supervised-learning supervised-machine-learning xgb-regressor xgboost

Last synced: 11 Apr 2025

https://github.com/future-ai-org/desci-ai-experiments-py

👾 resources and experiments for autonomous agents (e.g., language models, reinforcement learning, energy based models)

autism chatgpt deep-learning gpt-3 machine-learning markov-chain openai quantum-ai reinforcement-learning rust supervised-machine-learning

Last synced: 30 Apr 2026

https://github.com/yashksaini-coder/multivariate-logistic-regression---telecom-churn

Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.

logistic-regression machine-learning multivariate-regression supervised-learning supervised-machine-learning

Last synced: 11 Apr 2025

https://github.com/juliasilge/caret-ml-course

Supervised machine learning case studies with caret in R! 🌟 A free interactive course

machine-learning online-course rstats supervised-machine-learning

Last synced: 11 Apr 2025

https://github.com/tsg405/applied-machine-learning-in-python

This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA]

applied-machine-learning assignment classification coursera data-science fruit-dataset machine-learning matplotlib-pyplot numpy pandas python quiz regression scikit-learn scipy seaborn supervised-machine-learning university-of-michigan unsupervised-machine-learning

Last synced: 14 Apr 2025

https://github.com/sayamalt/water-quality-prediction

Successfully established a machine learning model which can predict whether any given water sample is potable or not, based on its set of various properties, to a considerably high level of accuracy.

classification-models data-visualization exploratory-data-analysis feature-engineering imbalanced-learning model-deployment outlier-treatment supervised-machine-learning

Last synced: 31 Aug 2025

https://github.com/weiji14/nz_space_challenge

A prototype end-to-end deep learning solution to identify and traverse crevasses in Antarctica for safer navigation. Uses supervised classification and reinforcement learning.

a3c antarctica binder crevasse jupyter-notebook quilt reinforcement-learning remote-sensing supervised-machine-learning tensorflowjs u-net

Last synced: 09 May 2025

https://github.com/weiji14/actinspacenz

Developing a solution for maritime monitoring using ConvNets on Sentinel 1 radar imagery.

binder deep-learning jupyter-notebook quilt radar satellite sentinel-1 supervised-machine-learning u-net

Last synced: 03 Apr 2025

https://github.com/sondosaabed/finding-charity-donors

In this project I apply supervised learning techniques and using analytical mind on data collected for the U.S. The Census to help CharityML (a fictitious charity organization) and identify people most likely to donate to their cause.

data-science donors intro-to-machine-learning-udacity machine-learning machine-learning-algorithms nanodegree python supervised-learning supervised-machine-learning udacity-nanodegree

Last synced: 19 Feb 2026

https://github.com/sayamalt/stellar-classification---sloan-digital-sky-survey-17

Successfully established a machine learning model which can predict an appropriate stellar class, on the basis of a distinct set of spectral characteristics, to a substantially high level of accuracy.

cross-validation data-preprocessing data-visualization exploratory-data-analysis feature-engineering feature-scaling imbalanced-learning model-deployment model-evaluation model-training multiclass-classification supervised-machine-learning

Last synced: 11 Jan 2026

https://github.com/sayamalt/liver-cirrhosis-stage-prediction

Successfully established a machine learning model which can determine whether an individual is vulnerable to the Cirrhosis disease or not by predicting its corresponding stage based on a unique set of medical features such as Cholesterol, Prothrombin, etc. pertaining to that person.

exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-evaluation-metrics model-training multiclass-classification supervised-machine-learning

Last synced: 09 Nov 2025

https://github.com/nafisalawalidris/advanced-fraud-detection-with-anomaly-detection

This repository demonstrates how to build a robust fraud detection system that combines supervised learning techniques with anomaly detection models. It provides end-to-end implementation, from data preprocessing and model training to deploying a real-time fraud detection API using FastAPI.

anomaly-detection creditcardfrauddetection data dataanalytics fastapi fraud-detection machinelearning modeldeployment python supervised-machine-learning unsupervised-machine-learning

Last synced: 20 Apr 2026

https://github.com/sayamalt/credit-card-fraud-detection

Established a machine learning model which can predict whether a credit card transaction is fraudulent or not to a significant level of accuracy.

classification feature-engineering machine-learning model-deployment supervised-machine-learning

Last synced: 09 Nov 2025

https://github.com/nriss/generate-imaging-dataset

Tools to create patches and build CSBDeep deep learning model for md-SR imaging

csbdeep-model denoising microscopy-images super-resolution supervised-machine-learning

Last synced: 07 Apr 2025

https://github.com/canayter/credit-risk-classification-analysis

A machine learning model using logistic regression to predict loan defaults based on financial data. The purpose of the analysis was to assist in risk assessment and decision-making processes in the lending industry.

logistic-regression supervised-machine-learning

Last synced: 14 Jul 2025

https://github.com/estevesx10/ai-decision-trees-id3

Decision Trees - ID3 [Artificial Intelligence Course Project]

decision-trees id3-decision-tree supervised-machine-learning

Last synced: 17 Mar 2025

https://github.com/mahmoud-elghonemy/prediction-using-supervised-ml

predict the percentage of a student based on the no. of study hours

python regression sklearn supervised-machine-learning

Last synced: 20 Apr 2026

https://github.com/onome-joseph/song-recommender-system

This project is designed to suggest songs to users based on their listening habits. Using K-means clustering, the system groups songs by their attributes and recommends songs that align with the user's preferences.

data-insights data-science recommendation-system supervised-machine-learning

Last synced: 06 Apr 2025

https://github.com/jbolns/atheoretical

Data analysis > VBA-driven automated regression (supervised ML) in Excel.

machine-learning supervised-machine-learning vba vba-excel

Last synced: 26 May 2026

https://github.com/sadia-khan13/supervised_machine_learning

This repository is meant to document my hands-on experience with supervised learning algorithms and techniques. It includes a variety of exercises, and experiments using different types of data and tools. Each file represents a step forward in building my machine learning skills.

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms python sciket-learn supervised-machine-learning

Last synced: 06 Mar 2026

https://github.com/mafda/disaster_response_pipeline

This project involves developing an ETL pipeline integrated with supervised learning and grid search to classify text messages sent during disaster events. It includes an ML pipeline and a web app designed to categorize disaster response messages in real time using NLP techniques

data-engineering data-science etl-pipeline flask-application grid-search-hyperparameters nlp-keywords-extraction nlp-machine-learning supervised-machine-learning

Last synced: 22 Apr 2026

https://github.com/virajbhutada/ML-projects

A collection of machine learning mini-projects and analyses developed using Jupyter Notebook. Each project demonstrates practical applications of machine learning algorithms on a variety of datasets, covering techniques from exploratory data analysis (EDA) to model training and evaluation.

business-analytics clustering data-science decision-trees linear-regression machine-learning-algorithms ml-models prediction stock-price-prediction supervised-machine-learning unsupervised-machine-learning

Last synced: 16 Sep 2025

https://github.com/gino-freud-hobayan/the-sparks-foundation_internship_projects

Data Science and Business Analytics Internship with Presentation videos posted on YouTube.

data-cleaning data-visualization exploratory-data-analysis python supervised-machine-learning

Last synced: 18 May 2026

https://github.com/md-emon-hasan/2-simple-bioinformatics-dna-ml-app

A simple bioinformatics application for DNA sequence analysis using machine learning techniques, implemented in Python.

bioinformatics data-science data-visualization deployment dna-sequences dna-sequencing supervised-machine-learning

Last synced: 09 Jun 2026

https://github.com/analitico-771/creditworthiness_classification_model

This is an Application that trains a model using supervised learning and imbalanced-learn library in order to classify and identify the creditworthiness of borrowers

artificial-intelligence credit-risk fintech imbalanced-learning machine-learning python quantitative-finance scikit-learn supervised-machine-learning

Last synced: 04 May 2026

https://github.com/md-emon-hasan/machine_learning_basic

Featuring basic machine learning projects, demonstrating concepts and implementations using Python and popular machine learning libraries.

machine-learning machine-learning-algorithms ml project-repository projects supervised-learning supervised-machine-learning

Last synced: 05 May 2026

https://github.com/shuklayash02/heart-disease-prediction-using-ml

heart disease prediction model in which you can predict if a person is healthy or having a heart disease

heart-disease heartdisease-prediction machine-learning machine-learning-algorithms machinelearning prediction-model supervised-machine-learning

Last synced: 27 Jul 2025

https://github.com/diestok/basic-machine-learning-for-bioinformatics

ML course materials for bioinformatics students following the Basic Machine Learning for Bioinformatics course at Utrecht University. Course created and taught by Dieter Stoker.

course jupyter-notebook machine-learning python supervised-machine-learning unsupervised-machine-learning

Last synced: 20 May 2026

https://github.com/anhvu2201/churn_users_prediction_using_supervised_and_unsupervised_ml

Develop and train an supervised machine learning model to identify potential churn users. Additionally, segment these users into distinct groups using an unsupervised machine learning model to enable tailored marketing strategies.

clustering-analysis supervised-machine-learning unsupervised-machine-learning

Last synced: 25 May 2026

https://github.com/shogunbanik18/bewell

A Data Science Supervised Machine Learning Project to predict multiple diseases like Diabetes, Heart Disease etc from symptoms given by user using Support Vector Machine Algorithm

classification data-science diabetes-prediction heart-disease-prediction machine-learning supervised-machine-learning support-vector-machines

Last synced: 26 Jun 2025

https://github.com/bernlewal/rapid-j

Rapid Algebrahic self-Programming with Incremental Deductions / implemented in Java

graph-algorithms java machine-learning machine-learning-algorithms machine-learning-library neuronal-network neurons supervised-machine-learning

Last synced: 03 Apr 2026

https://github.com/shogunbanik18/spam-detector

Spam Detector is an online Email/SMS Spam Classifier based binary classification model to detect whether a text message is spam or not (i.e Ham).

data-science knearest-neighbor-algorithm machine-learning naive-bayes-classifier random-forest-classifier supervised-machine-learning

Last synced: 20 Apr 2026

https://github.com/kevinndungu-source/machine_learning

Machine Learning - This is a hands-on Machine Learning endeavor showcasing data preprocessing, feature engineering, and model deployment using Amazon SageMaker, aimed at advancing proficiency in ML workflows.

data-manipulation feature-engineering feature-extraction imputation-methods python regression-models supervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/kizman-23/supervised_models

Classical prediction of future data using models trained by labeled data

numpy pandas scikit-learn supervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/arush18/stock-price-prediction

Stock Price Prediction using Machine Learning, featuring data preprocessing, time series analysis, and model evaluation.

finance neural-network sklearn supervised-machine-learning tensorflow time-series-analysis yfinance-api

Last synced: 13 Apr 2026

https://github.com/deypadma2020/banking-faq-rag-system

An end-to-end NLP-based Banking FAQ Intent Classification System using TF-IDF, Machine Learning, Ensemble Models, and Streamlit deployment for real-time banking query intent prediction and bulk CSV classification.

banking-applications nlp-machine-learning supervised-machine-learning

Last synced: 30 May 2026

https://github.com/singhdivyank/sweet-sense-ai

Integrate binary classifier in a website to predict diabetes. Tech: XG Boost, AWS ECS, JavaScript

aws-ecs-fargate docker exploratory-data-analysis fastapi javascript supervised-machine-learning xgboost-classifier

Last synced: 06 May 2026

https://github.com/mikayelgr/ml-forecast-ev-kpis

Forecasting EV growth and key metrics using supervised ML, developed for Stanford's DATASCI112 Principles of Data Science.

machine-learning pandas python sklearn supervised-machine-learning

Last synced: 14 Apr 2026

https://github.com/a-yush/keras-databases

Implemented various deep learning problems of supervised learning using keras with tensorflow as backend .

computer-vision deep-neural-networks keras keras-implementations python3 supervised-machine-learning

Last synced: 16 May 2026

https://github.com/raeidsaqur/coursera-ml-course

Code solutions to Coursera ML course by Andrew Ng

machine-learning supervised-machine-learning svm-classifier

Last synced: 12 Feb 2026

https://github.com/josericodata/mscdataanalyticsfirstsemesterassignmentone

Summary of Assignment One from the first semester of the MSc in Data Analytics program. This repository contains the CA1 assignment guidelines from the college and my submission. To see all original commits and progress, please visit the original repository using the link below.

binomial-and-poisson-distributions cct-college data-preparation-and-visualisation decision-trees demographics-republic-ireland dublin hyperparameter-tuning ireland jose-maria-rico-leal jose-rico k-nearest-neighbors machine-learning-for-data-analysis migration-analysis population-density-maps population-pyramid programming-for-data-analysis random-forest statistics-for-data-analytics supervised-machine-learning tufte-principles

Last synced: 01 Mar 2026

https://github.com/codeasarjun/house_price_prediction

This tool utilizes Python, Flask, and Linear Regression to predict house prices based on housing data from Kaggle. Whether you're a real estate enthusiast or just curious about predicting house prices, it provides an intuitive interface to explore and predict potential prices.

end-to-end-machine-learning end-to-end-project flask house-price-analysis house-price-prediction linear-regression machine-learning machine-learning-algorithms pkl predictive-modeling price-prediction regression supervised-machine-learning ui

Last synced: 16 Apr 2026

https://github.com/mmaithani/cancer-prediction-using-mammogram-data-

Predicting if a mass detected in a mammogram is benign or maligant ,on the basis of that we can easily tell that whether its sign of cancer or not. previously this work is done using seeing the mammogram image manually by doctor predicting whether its maligant or not but now we are using Machine learning model to learn from previous patient data and predict for new patient whether they have to worry or not.

cancer-detection data-science machine-learning mammogram python3 supervised-machine-learning

Last synced: 01 May 2026

https://github.com/margaretkhendre/credit-risk-classification-vs-supervised-machine-learning-challenge

In this repository, Google Colaboratory is paired with Supervised Machine Learning to evaluate a model based on loan risk. A dataset of historical lending activity is used to build a model that can identify the creditworthiness of borrowers.

colab-notebook jupyter-notebook pandas python sklearn-library supervised-machine-learning

Last synced: 01 May 2026

https://github.com/dhruvv1402/spam-detection-python-

This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.

countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf

Last synced: 01 May 2026

https://github.com/shogunbanik18/spam-defender

Spam Detector is an online Email/SMS Spam Classifier based binary classification model to detect whether a text message is spam or not (i.e Ham).

data-science knearest-neighbor-algorithm machine-learning naive-bayes-classifier random-forest supervised-machine-learning

Last synced: 10 Jun 2026

https://github.com/arush18/heart-disease-prediction

Heart Disease Prediction using Machine Learning with data preprocessing, model evaluation, and performance analysis.

sklearn supervised-machine-learning

Last synced: 12 May 2026

https://github.com/sifatahammed/analysis-of-deep-learning-models-for-emotion-recognition

The experiment developed a framework for comparing the performance of various deep learning models for emotion recognition using EEG data.

deep-learning emotion-recognition machine-learning python supervised-machine-learning tensorflow

Last synced: 13 May 2026

https://github.com/virajbhutada/ml-projects

A collection of machine learning mini-projects and analyses developed using Jupyter Notebook. Each project demonstrates practical applications of machine learning algorithms on a variety of datasets, covering techniques from exploratory data analysis (EDA) to model training and evaluation.

business-analytics clustering data-science decision-trees linear-regression machine-learning-algorithms ml-models prediction stock-price-prediction supervised-machine-learning unsupervised-machine-learning

Last synced: 13 May 2026

https://github.com/fahmizainal17/car_price_prediction_project

This repository is dedicated to developing a model for predicting car prices in Malaysia, utilizing various data science techniques and machine learning algorithms.

car-price-prediction-with-machine-learning pickle-file random-forest-regression supervised-learning supervised-machine-learning

Last synced: 17 Jun 2026

https://github.com/cliffordnwanna/microsoft_malware_prediction

With this project, I explored how machine learning can enhance malware detection and prediction. The insights gained from both supervised and unsupervised techniques can be used to develop more robust and accurate cybersecurity solutions.

algorithms cybersecurity data-science decision-trees kmeans-clustering machine-learning supervised-machine-learning unsupervised-machine-learning

Last synced: 25 Jun 2025

https://github.com/blinksta1ker/spam-mail-classification

Supervised ML model using Logistic Regression model to classify an email as Ham or Spam

jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning

Last synced: 09 Apr 2026