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/greyhatguy007/machine-learning-specialization-coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
andrew-ng andrew-ng-machine-learning coursera coursera-assignment coursera-specialization decision-trees deep-learning linear-regression logistic-regression machine-learning mooc neural-network python recommendation-system solutions supervised-machine-learning tensorflow unsupervised-learning unsupervised-machine-learning
Last synced: 14 May 2025
https://github.com/vikasverma1077/manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019)
data-augumentation deep-learning deep-neural-networks icml2019 pytorch regularization supervised-learning supervised-machine-learning
Last synced: 03 Apr 2025
https://github.com/goekdeniz-guelmez/mlx-lm-lora
Train Large Language Models on MLX.
apple deep-learning dpo fine finetuning-llms ml rlhf supervised-machine-learning training
Last synced: 09 Mar 2026
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/rileynwong/spotify-analysis
Data analysis on my monthly playlists
audio-features data-analysis data-scraping lyrics machine-learning natural-language-processing nlp nlp-machine-learning sentiment-analysis spotify-analysis supervised-learning supervised-machine-learning text text-analysis
Last synced: 12 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/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/autistic-symposium/ml-ai-agents-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: 21 Feb 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/amey-thakur/depression_detection_using_tweets
Twitter Depression Detection
amey ameythakur computer-engineering data-science depression-detection depression-detector machine-learning megasatish nlp project python supervised-machine-learning
Last synced: 29 Aug 2025
https://github.com/kwokhing/sentimentanalysis-python-demo
Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models
bert-model cross-validation data-analysis decision-trees deep-learning lexicon-based lstm-sentiment-analysis machine-learning machine-learning-algorithms naive-bayes naive-bayes-classifier random-forest sentiment-analysis sentiment-classification sklearn supervised-learning supervised-machine-learning support-vector-machines svm vader-sentiment-analysis
Last synced: 27 Jul 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/sachs7/coursera-machine-learning-specialization
2024 Machine Learning Specialization course from Stanford University and Deeplearning.ai on Coursera by Dr. Andrew Ng. Includes Labs, Quiz
2024-machine-learning advanced-learning-algorithm coursera deeplearning-ai machine-learning neural-networks python stanford-machine-learning supervised-machine-learning tensorflow2 unsupervised-recommender-reinforcement-learning
Last synced: 27 Jul 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/felipexw/knn-java-library
Just a simple implementation of K-Nearest Neighbour algorithm.
data-science k-nearest-neighbor-classifier k-nearest-neighbours knn knn-algorithm knn-classification knn-classifier machine-learning supervised-learning supervised-learning-algorithms supervised-learning-classifiers supervised-machine-learning
Last synced: 13 Nov 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/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/kalthommusa/introduction-to-computer-vision-and-image-processing
This repository contains my practice of Introduction to Computer Vision and Image Processing lab notebooks.
convolutional-neural-networks cv-studio deep-neural-networks deploy-model ibm-cloud image-classification image-processing image-segmentation object-detection opencv pillow python pytorch supervised-machine-learning tensorflow test-model train-model transfer-learning use-model
Last synced: 13 Aug 2025
https://github.com/lpapailiou/neuralnetwork
A java library providing a configurable neural network. Supports supervised learning and genetic algorithm.
ai configurable flexible genetic-algorithm java java-8 library machine-learning machine-learning-algorithm maven maven-library maven-repository neural-nets neural-network reinforcement-learning supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 15 Feb 2026
https://github.com/shreydan/machinelearningrecipes
Following tutorials from Josh Gordon.
beginner beginner-friendly classifiers google machine-learning python supervised-machine-learning tutorials youtube-playlist
Last synced: 12 Oct 2025
https://github.com/rjlovespy/astro-entity-classifier
A Tkinter based ML tool that classifies astronomical entities as Galaxy, Star, and Quasar
astronomy astrophysics bagging-classifier celestial-coordinates classification-algorithm cx-freeze galaxy-star-quasar-identifier machine-learning matplotlib numpy pandas photometric-color-indices py-to-exe python redshift scikit-learn sloan-digital-sky-survey-dr17 supervised-machine-learning tkinter-gui
Last synced: 28 Apr 2025
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/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/vatshayan/b.tech-final-year-project-machine-learning-on-flower-species
Implementation & Learning of Iris Data-set and use of various Machine learning Algorithm
iris iris-classification iris-dataset iris-flowers machine machine-learning machine-learning-algorithms pandas sckiit-learn supervised-machine-learning unsuper
Last synced: 19 Aug 2025
https://github.com/safaa-p/fraudulent-insurance-claims-detection
Different models to detect if a claim is fraudulent or not
decisiontreeclassifier gridsearchcv insurance logistic-regression machine-learning-algorithms naive-bayes-classifier smote-sampling supervised-machine-learning undersampling xgboost
Last synced: 05 Mar 2025
https://github.com/syamkakarla98/machine_learning_course
This course covers the explanation and examples on supervised and unsupervised algorithms.
algorithm hacktoberfest hacktoberfest2019 jupyter-notebook machine-learning matplotlib neural-network numpy pandas python python3 scikit-learn scipy seaborn supervised-machine-learning tensorflow tutorial unsupervised-machine-learning
Last synced: 27 Nov 2025
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/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/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/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: 18 Mar 2025
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: 25 Jun 2025
https://github.com/nikorasu/snakeai
WIP project to use machine learning to play Snake!
ai deep-learning dqn machine-learning ml neural-network numpy pytorch q-learning reinforcement-learning snake-game supervised-learning supervised-machine-learning terminal
Last synced: 30 Dec 2025
https://github.com/jamesehiabhi/peterside-heartpredict_ml
Advanced Heart Disease Prediction Using Supervised Machine Learning Models
classifier-training exploratory-data-analysis heart-disease jupyter-notebook machine-learning pdf predictive-modeling python supervised-machine-learning
Last synced: 05 Apr 2025
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: 24 Dec 2025
https://github.com/ankushmallick1100/task-1-the-sparks-foundation-data-science-and-business-analytics-internship
Task 01: Predict the percentage of an student based on no of study hours with Supervised Machine Learning
data-science internship-task intership jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 supervised-learning supervised-machine-learning thesparksfoundation thesparksfoundationinternship tsf
Last synced: 24 Dec 2025
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/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/shuklayash02/diabetes_prediction_model
Diabetes Prediction model Input=(Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age)
classification-algorithm classification-model diabetes-prediction machine-learning machine-learning-algorithms prediction-model supervised-learning-algorithms supervised-machine-learning
Last synced: 21 Sep 2025
https://github.com/dennismgoetz/ma_predicting_shapley_values
Implementation part of my master thesis "Predicting Shapley values in routing problems with machine learning"
dbscan-clustering deep-neural-networks kernel-machines multilayer-perceptron regression-models shapley-value supervised-machine-learning travelling-salesman-problem xgboost
Last synced: 04 Aug 2025
https://github.com/allanotieno254/supervised-method--decision-trees--algorithms-diabetes-prediction-
Supervised-method--Decision-trees--algorithms-Diabetes-prediction if either one has diabetes or not
decision-tree-classifier googlecolab jupyter-notebook pandas-dataframe pandas-python supervised-machine-learning visualization
Last synced: 15 May 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: 15 May 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/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/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: 06 Mar 2025
https://github.com/codeasarjun/_easy_machine_learning
This repo contains a comprehensive tutorial on machine learning with practical implementations and examples using Python.
artificial-intelligence clustering deep-learning jupyter-notebook machine-learning machine-learning-algorithms modelevaluation neural-network numpy pandas preprocessing python python3 regression scipy supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 05 Mar 2025
https://github.com/phenomsg/ml-notebook
This project is designed for personal learning and exploration of fundamental machine learning concepts.
decision-trees linear-regression logistic-regression machine-learning model-evaluation-metrics neural-network opencv pandas python3 recommendation-system sckit-learn supervised-machine-learning tensorflow2 unsupervised-machine-learning
Last synced: 24 Mar 2025
https://github.com/kaustubholpadkar/linear_regression-gradient_descent
Linear Regression with Gradient Descent in Octave
gradient-descent linear-models linear-regression machine-learning matlab octave regression-algorithms regression-analysis supervised-machine-learning
Last synced: 17 Oct 2025
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: 02 Mar 2025
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: 02 Mar 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: 08 Oct 2025
https://github.com/avinashbarnwal/discriminate-analysis
New Discriminate Analysis
linear-discriminant-analysis machine-learning-algorithms python3 supervised-machine-learning
Last synced: 19 Oct 2025
https://github.com/cintia0528/data_science-supervised_machine_learning_classification_housing
The projects aim is to find the to best ML algorithm evaluated on its efficiency in predicting whether homes should be classified as expensive or not expensive.
classification lazypredict machinelearning-python supervised-machine-learning xgboost-algorithm
Last synced: 26 Jul 2025
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/iamjuniorb/d499-supervised-learning
This class for machine Learning presents the end-to-end process of investigating data through a machine learning lens.
machine-learning project python python3 scikit-learn scikit-learn-python scikitlearn-machine-learning supervised-learning supervised-machine-learning
Last synced: 13 Aug 2025
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: 02 Mar 2025
https://github.com/theo-liang/python-and-tableau-project-gun-violence-in-america
This project analyzes gun violence incidents in America to identify trends related to location, time, gun types, and demographic factors.
exploratory-data-analysis geospatial-analysis heatmaps jupyter-notebook k-means-clustering linear-regression principal-component-analysis python scatterplot supervised-machine-learning tableau-dashboards time-series-analysis unsupervised-machine-learning
Last synced: 26 Sep 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: 21 Feb 2025
https://github.com/vara-co/credit-risk-classification
DU - DA Module 20 challenge
credit-risk data-science machine-learning-models supervised-learning supervised-machine-learning testing-training
Last synced: 10 Aug 2025
https://github.com/sayamalt/shack-labs-data-science-internship-tasks
Completed 2 tasks as part of Shack Labs DS Internship Assignment: 1. House Price Prediction 2. Matching of Amazon and Flipkart Products
machine-learning regression-models sentence-transformers supervised-machine-learning
Last synced: 09 Nov 2025
https://github.com/sayamalt/wine-quality-prediction
Successfully established a supervised machine learning model which can predict the quality of a wine to a high level of accuracy based on a certain set of features associated with the chemical properties and characteristics of that specific wine.
exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-training-and-evaluation multiclass-classification supervised-machine-learning
Last synced: 09 Nov 2025
https://github.com/sayamalt/weather-prediction-using-machine-learning
Successfully developed a machine learning model which can accurately classify the weather based on various features pertaining to weather-related data and atmospheric conditions.
artificial-neural-networks cross-validation deep-learning exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-training-and-evaluation supervised-machine-learning
Last synced: 09 Nov 2025
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: 31 Dec 2025
https://github.com/mayhixza/breast-cancer-classification
Classified tumors as malignant or benign using various supervised ML models
classification eda evaluation-metrics jupyter-notebooks machine-learning scikit-learn supervised-machine-learning
Last synced: 03 Oct 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: 30 Dec 2025
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: 15 Aug 2025
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: 04 Oct 2025
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/ayush272002/machine-learning-algorithms-from-scratch
Implementation of some of the most commonly used Machine Learning Algorithms from scratch in python
artificial-intelligence linear-regression logistic-regression machine-learning python supervised-machine-learning
Last synced: 20 Aug 2025
https://github.com/viivianreine/carbon-footprint-calculator-using-advanced-machine-learning-cnn-
🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifestyle data. Adaptive, scalable, and designed to drive sustainability through intelligent software solutions.
api-based-ai-integration cloud-ready convolutional-neural-networks data-featuring data-preprocessing ipcc keras keras-tensorflow matplotlib model-optimization numpy pandas python realtime-database seaborn streamlit streamlit-deployment streamlit-webapp supervised-machine-learning tensorflow
Last synced: 14 Oct 2025
https://github.com/ryan-ci/one-person-company
一人公司 AI 工具系列，长期更新，帮助大家提升工作效率，开启一人公司! One-Person Company AI Tools Series – continuously updated to help boost productivity and empower your solo business!
blockchain classification cloudnative decision-trees ehr ethereum-dapp infrastructure nacos opencv-python productivity react service-mesh sqlite3 supervised-machine-learning
Last synced: 29 Mar 2025
https://github.com/prahaladhchandrahasan/supervisedml_internship_tsf
Linear Regression was performed on the given Dateset. One of my submission for the TSF's GRIP internship, October 2020.
linear-regression matplotlib-pyplot numpy pandas pyhton3 supervised-machine-learning
Last synced: 31 Aug 2025
https://github.com/enshefalogram/ml-score-pred
This project is designed to make your life... predictable!
ai data-visualization eda machine-learning phyton python3 regression regression-models supervised-machine-learning
Last synced: 25 Dec 2025
https://github.com/sukiboo/game_of_life
Solving Game of Life with Machine Learning
backpropagation game-of-life neural-networks supervised-machine-learning tensorflow
Last synced: 14 Mar 2025
https://github.com/xerdink/ing-datathon-2018
ING Datathon 2018 kernel.
datathon hackathon supervised-machine-learning xgboost
Last synced: 03 Apr 2025
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: 27 Mar 2025
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: 03 Mar 2025
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/tejaswirupa/early-prediction-of-diabetes-risk-using-machine-learning
Built a predictive model using CDC health data to identify individuals at risk of developing diabetes. Achieved 90.6% F1-score using Logistic Regression and revealed key health indicators like BMI and blood pressure as top predictors.
data-science datacleaning exploratory-data-analysis modelevaluation preprocessing-data python scikit-learn supervised-machine-learning
Last synced: 15 Jul 2025
https://github.com/mattiamanna2203/tesimagistrale
Files used for my Master's thesis in Data Science titled "Identification of Critical Nodes in Differential Co-Expression Networks of TEPs Transcriptome for Diagnostic Applications."
data-science degs differentially-expressed-genes graphs igraph network-analysis python3 r supervised-machine-learning svc-model
Last synced: 30 Mar 2025
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: 09 Oct 2025
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: 11 Oct 2025
https://github.com/theo-liang/python-project-analysis-for-climatewins
This project analyzes historical weather data to identify patterns and predict future weather conditions, focusing on extreme events and temperature trends across Europe.
artificial-neural-networks backpropagation confusion-matrix-heatmap convolutional-neural-networks data-optimization decision-tree-classifier deep-learning generative-adversarial-network gradient-descent hierarchical-clustering hyperparameter-tuning jupyter-notebook k-nearest-neighbor learning-rate machine-learning-algorithms overfitting python random-forest recurrent-neural-networks supervised-machine-learning
Last synced: 17 Mar 2025
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/hamzakamelen/heart-disease-prediction
A Complete Machine Learning Heart Disease Prediction App
heart-disease-prediction machine-learning python supervised-machine-learning
Last synced: 27 Dec 2025
https://github.com/anurima-saha/la_crime_prediction_supervised_ml
Supervised ML model trained on LAPD data with attributes like crime location and time of occurance along with victim details. Random Forest and XGBoost algorithms used to determine if a given crime will remain unresolved along with the probabilty of resolution.
classification random-forest-classifier supervised-machine-learning tableau-dashboards xgboost-classifier
Last synced: 29 Oct 2025
https://github.com/sayamalt/customer-churn-prediction
Successfully established a machine learning model which can predict whether any given customer currently utilizing the products and services offered by a company will churn at anytime in the future or not, depending upon a set of unique features/characteristics pertaining to that specific individual, to a great level of accuracy.
classification data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-evaluation model-optimization model-training supervised-machine-learning
Last synced: 09 Nov 2025
https://github.com/burcuyesilyurt/teco_customer_segmentation
Develop Machine Learning model to predict customer churn.
customer-segmentation machine-learning prediction python supervised-machine-learning
Last synced: 22 Jun 2025
https://github.com/cintia0528/data_science-supervised_machine_learning_regression
Predict home prices using regression, optimizing for R2 and RMSE metrics to create a robust model with minimal prediction deviation.
ensemble-machine-learning lazypredict metrics r2 regressor-models sklearn supervised-machine-learning
Last synced: 31 Mar 2025