Projects in Awesome Lists tagged with machine-learning-models

This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.

adaboost-classifier agglomerative-clustering apriori-algorithm data-preprocessing data-science ensemble-learning fuzzy-cmeans-clustering machine-learning machine-learning-algorithms machine-learning-models multilayer-perceptron python random-forest-classifier self-organizing-map single-layer-perceptron

Last synced: 26 Oct 2025

https://github.com/aydinnyunus/cancerdetection

Breast Cancer Detection

breast-cancer breast-cancer-detection breast-cancer-diagnosis breast-cancer-prediction breast-cancer-wisconsin cancer cancer-data cancer-detection deep-learning deep-neural-networks deeplearning machine-learning machine-learning-algorithms machine-learning-models machinelearning machinelearning-python makine makine-ogrenmesi medicine medicineworks

Last synced: 29 Jan 2026

https://github.com/pottekkat/dog-eyes

This notebook builds a multiclass image classifier for classifying dog breeds using TensorFlow 2.0 and TensorFlow Hub.

dog-breed-classifier jupyter-notebook kaggle-competition machine-learning machine-learning-models tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 24 Apr 2025

https://github.com/burhanahmed1/CompuWorth

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for LaptopPricing dataset.

data-analysis-project data-analytics-project data-aquisition data-wrangling datascience exploratory-data-analysis insights jupyter-notebook machine-learning machine-learning-models matplotlib model-evaluation-and-refinement numpy pandas python scikit-learn scipy-stats seaborn

Last synced: 24 Dec 2025

https://github.com/rjlovespy/house-price-predictor

A Tkinter GUI whose predictions are based on an ML model that is trained by Random Forest Regressor

cx-freeze gui-development jupyter-notebook machine-learning-models numpy pandas py-to-exe python random-forest-regression scikit-learn tkinter-gui

Last synced: 19 Apr 2025

https://github.com/kedhareswer/ml_projects

My collection of machine learning projects and experiments.

computer-vision data-analysis data-science data-visualization datascience-machinelearning machine-learning machine-learning-algorithms machine-learning-models machinelearningprojects

Last synced: 07 Apr 2026

https://github.com/kawchar85/interactivemodelcomparator

A web-based tool designed for comparing output images from different machine learning models on the same dataset.

computer-vision fastapi image-viewer image-viewing image-visualization image-visualizer javascript machine-learning-models research

Last synced: 23 Oct 2025

https://github.com/kanchanraiii/crop-recommendation-system

crop-recommendation machine-learning-models random-forest streamlit-webapp

Last synced: 30 Jan 2026

https://github.com/ahsan-83/machine-learning-specialization-coursera

Machine Learning Specialization course offered by DeepLearning.AI on Coursera

andrew-ng-machine-learning classification coursera linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-coursera machine-learning-models mathematical-modelling mathematical-optimization numpy pandas python-programming regularization scikit-learn tensorflow

Last synced: 20 Apr 2026

https://github.com/MaklonFR/Movie-Recomendation-System

Submision Dicoding Indonesia - Machine Learning Terapan (Movie Recomendation)

collaborative-filtering content-based-filtering dicoding-submission machine-learning machine-learning-algorithms machine-learning-models movie-recommendation-app

Last synced: 14 Aug 2025

https://github.com/maklonfr/movie-recomendation-system

Submision Dicoding Indonesia - Machine Learning Terapan (Movie Recomendation)

collaborative-filtering content-based-filtering dicoding-submission machine-learning machine-learning-algorithms machine-learning-models movie-recommendation-app

Last synced: 16 Feb 2026

https://github.com/j4nn0/machine-learning-pca-svm

PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM

classification-algorithm dataset kfold-cross-validation linear-kernel machine-learning machine-learning-algorithms machine-learning-models machine-learning-practice machine-learning-tutorials naive-bayes-classification naive-bayes-classifier naive-bayes-implementation pca-analysis pca-implementation pca-mode-visualization pca-predict rbf-kernel svm-classifier svm-training training-dataset

Last synced: 14 Aug 2025

https://github.com/jdavydovportfolio/careerpredictor

A project leveraging AI and Machine Learning (Logistic Regression) to predict graduate job placements. Includes data preprocessing, exploratory analysis, and predictive modeling.

artificial-intelligence exploratory-data-analysis jupyter-notebook linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-models matplotlib ml numpy pandas pandas-dataframe predictive-modeling programming python scikit-learn

Last synced: 16 Feb 2026

https://github.com/hamza-shabbir-ansari/teachable-machine

Teachable Machine Clone is a responsive web app that integrates machine learning models for image, sound, and pose recognition. Train and test models with custom data like animals, sounds, and poses. Built using HTML, CSS, JavaScript, jQuery, and SCSS.

machine-learning machine-learning-models machinelearning models teachable-machine webdeveloper webdevelopment website

Last synced: 28 Feb 2026

https://github.com/IBM/MAX-Nucleus-Segmenter

Identify nuclei in a microscopy image and assign each pixel of the image to a particular nucleus

deep-learning docker-image machine-learning machine-learning-models medical-image-analysis object-detection tensorflow

Last synced: 13 May 2025

https://github.com/burhanahmed1/automobiles-machinelearning-analysis

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for AutoMobiles dataset.

data-acquisition data-analysis-project data-science data-wrangling exploratory-data-analysis insights machine-learning machine-learning-models matplotlib model-evaluation-and-refinement numpy pandas python scikit-learn scipy-stats seaborn

Last synced: 29 Mar 2025

https://github.com/rahamniabdelkaderseifelislem/prodigy_ml_02

Task 2 of the Prodigy InfoTech ML internship which involves Creation of K-means clustering algorithm to group customers of a retail store based on their purchase history.

clustering k-means k-means-clustering k-means-implementation-in-python machine-learning machine-learning-algorithms machine-learning-models plotly

Last synced: 13 Feb 2026

https://github.com/rahamniabdelkaderseifelislem/prodigy_ml_01

Task 1 of the Prodigy InfoTech ML internship which involves building a basic Linear Regression model.

linear-regression machine-learning machine-learning-models predictive-modeling python scikit-learn

Last synced: 25 Jan 2026

https://github.com/karthikyandrapu/diabetesprediction

Develop an advanced Diabetes Prediction model using state-of-the-art data science methodologies and ML algorithms.

diabetes-detection diabetes-prediction diabetes-prediction-model machine-learning machine-learning-algorithms machine-learning-models ml ml-project mlops project streamlit streamlit-webapp

Last synced: 05 Jul 2025

https://github.com/svaniksharma/relevancevectormachine.jl

An implementation of a relevance vector machine, a sparse Bayesian version of a SVM

classification-models julia julia-package machine-learning machine-learning-algorithms machine-learning-models regression-models relevance-vector-machine

Last synced: 05 Mar 2026

https://github.com/basemax/colorizeblackwhiteimagepython

Colorize black & white images, using machine learning in Python

colorize colorize-image colorizer cv2 deep-learning image-colorizer machine-learning machine-learning-models machine-learning-practice machine-learning-projects machine-learning-tutorials opencv py python python3

Last synced: 19 Apr 2026

https://github.com/hanzala-bhutto/react-express-multidiseaseprediction

Multi Disease Prediction System encompassing Two Models: Heart Disease And Diabetes

express machine-learning machine-learning-models nestjs-backend python react tailwindcss

Last synced: 12 Apr 2026

https://github.com/smola/plangid

A programming language detection library and command line tool written in Python.

language-detection machine-learning-models programming-language-identification python

Last synced: 03 Apr 2025

https://github.com/burhanahmed1/data-analysis-with-python

Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.

data-analysis data-aquisition data-insights data-science data-wrangling dataanalytics datascience-machinelearning eda exploratory-data-analysis machine-learning-models matlpotlib numpy pandas practice-programming prediction-model python scikit-learn scikitlearn-machine-learning seaborn

Last synced: 24 Feb 2025

https://github.com/drisskhattabi6/data-analysis-and-ml-app

A Python desktop application using CustomTkinter for data analysis and machine learning.

custom-tkinter data-analysis data-processing data-visualization desktop-application machine-learning machine-learning-models machine-learning-pipeline tkinter

Last synced: 21 Mar 2025

https://github.com/jpcadena/solid-principles-machine-learning

S.O.L.I.D. Principles for Machine Learning project.

clean-code data-analysis data-engineering data-science deep-learning dependency-inversion-principle design-patterns design-principles interface-segregation-principle liskov-substitution-principle machine-learning machine-learning-models mlops models open-closed-principle pylint python single-responsibility-principle software-engineering solid-principles

Last synced: 05 Mar 2025

https://github.com/nextgencodes/dspath

Collecting DS methods in one place

arduino data-science data-science-projects deep deep-learning deep-neural-networks gpu iot jetson machine-learning machine-learning-algorithms machine-learning-models nvidia raspberrypi robotics

Last synced: 09 Apr 2026

https://github.com/mehmoodulhaq570/machine-learning-models

A repository consisting of machine learning models for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.

decision-trees gradient-descent gradient-descent-algorithm knn-algorithm linear-regression linear-regression-models logistic-regression-algorithm machine-learning-algorithms machine-learning-models ml naive-bayes-algorithm one-hot-encoding pca python random-forest-classifier scikit-learn svm-model

Last synced: 08 Apr 2025

https://github.com/rcghpge/pymo

A framework in Mojo for AI/ML/DL applications and other domains.

deep-learning deep-neural-networks machine-learning machine-learning-models magic-cli max-gpu modular mojo mojo-language numpy pandas pymo python python-language scikit-learn

Last synced: 15 Mar 2025

https://github.com/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 27 Feb 2025

https://github.com/adilshamim8/ml-roadmap-and-notes

ML Roadmap and Notes A structured guide to Machine Learning, featuring notes and resources on key concepts, algorithms, and tools for learners of all levels.

ai artificial-intelligence data-science deep-learning deep-learning-projects machine-learning machine-learning-algorithms machine-learning-library machine-learning-models machine-learning-practice machine-learning-projects machine-learning-tutorials

Last synced: 15 Mar 2025

https://github.com/riddhis2226/titanic-survival-data-analysis

Titanic-Survival-Data-Analysis : Analyze passenger data from the Titanic to predict survival based on features like age, gender, class, and fare.

data-analysis data-mining data-science data-visualization database jupyter-notebook machine-learning-models machinelearning-python plotlyjs python3

Last synced: 01 Jul 2025

https://github.com/jbris/kedro-testing

Testing Kedro

kedro kedro-catalog kedro-hook kedro-plugin kedro-tutorial machine-learning machine-learning-models mlops mlops-environment mlops-project mlops-workflow

Last synced: 10 Mar 2025

https://github.com/sweetpand/nlp-best-practices

LSTM, RNN, all best practices

clustering deep-learning lstm machine-learning machine-learning-models multi-task-learning nlp rnn rnn-pytorch rnn-tensorflow word-emeddings

Last synced: 17 Oct 2025

https://github.com/dagshub/open-source-ml-models

This repository holds open-source machine learning models for various domains ready to download and use

ai dagshub hacktoberfest hacktoberfest-2023 machine-learning machine-learning-models machinelearning models open-source opensource

Last synced: 19 Mar 2026

https://github.com/himel-sarder/build-own-simple-linear-regression-model

This project demonstrates the creation of a simple linear regression model from scratch using Python. The model predicts sales based on TV advertising spend.

create-ml-model-with-python machine-learning machine-learning-algorithms machine-learning-models machinelearning ml python

Last synced: 19 Apr 2026

https://github.com/ashishpatel8736/spam-classification-model-application

This is a Machine Learning application built with Python and Streamlit that classifies emails as spam or ham (not spam). It leverages a trained ML model to analyze text input and predict whether the email is spam or not.

machine-learning machine-learning-models nlp python spam-detection text-classification

Last synced: 27 Dec 2025

https://github.com/sehaj003/telco-churn-analysis

This repository contains files (dataset and Jupyter codebooks) for a project aimed to build machine learning models to predict customer churn based on given parameters.

data-science data-visualization exploratory-data-analysis machine-learning machine-learning-models predictive-modeling principal-component-analysis python

Last synced: 15 Mar 2025

https://github.com/rachelnk/simple-machine-learning-model

A simple machine learning model built using scikit-learn library.

data-science linear-regression machine-learning-algorithms machine-learning-models matplotlib numpy pandas python random-forest random-forest-regressor scikit-learn

Last synced: 11 Apr 2026

https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-

The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.

data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/tnleite/credit-card-customer-clustering

Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.

classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn

Last synced: 09 Jul 2025

https://github.com/yuza27/predict_performance

machine-learning machine-learning-models

Last synced: 04 Mar 2026

https://github.com/annnieglez/nlp-stock-market-and-news

This project focuses on detecting fake news from news headlines using advanced Natural Language Processing (NLP) techniques. It combines sentiment analysis with news headlines embeddings, generated from Hugging Face transformer models, to train a binary classification model that distinguishes between real and fake news.

classification-model data-analysis embeddings machine-learning machine-learning-models nlp nlp-deep-learning nlp-machine-learning python scraping-websites sentiment-analysis

Last synced: 25 Apr 2026

https://github.com/nzuqi/tensorflow-handpose-drag

A concept on how Machine Learning (ML) can be integrated on Web apps

angular machine-learning machine-learning-models ml pre-trained-models tensorflow-models tensorflowjs

Last synced: 20 Jan 2026

https://github.com/douglasvolcato/news-subject-classification-model

Machine learning multi classification model

machine-learning machine-learning-algorithms machine-learning-models python python-script

Last synced: 03 Apr 2025

https://github.com/blacksujit/location-based-analysis

This project aims to perform restaurant location-based analysis using machine learning techniques. It involves predicting restaurant ratings based on user inputs and displaying restaurant locations on a map.

anaylsis deployement-strategy flask flask-application forms location-based location-based-analysis location-services machine-learning machine-learning-algorithms machine-learning-models ml ml-ops mlops model-development model-development-repository

Last synced: 24 Mar 2025

https://github.com/hmshb/langchain-google-gemini-integration

This repo contains integration of LangChain with Google Gemini LLM

ai google-gemini google-gemini-ai langchain large-language-models machine-learning machine-learning-models multimodel-large-language-model programming python

Last synced: 18 Apr 2026

https://github.com/ash0508/machine_learning_internship_code_alpha

🚀Absolutely! Let's dive deeper into the collection of Machine Learning projects I completed during my immersive 1-month virtual internship at CodeAlpha.

jupyter-notebook machine-learning-library machine-learning-models vscode

Last synced: 21 Nov 2025

https://github.com/mrseanryan/onnx-cli

Command line tools in Python for working with ONNX files

file-format machine-learning machine-learning-models machinelearning-python onnx

Last synced: 08 Nov 2025

https://github.com/adilshamim8/email-spam-classifier

This Email Spam Classifier leverages machine learning and NLP to detect spam emails with high accuracy. It preprocesses data, extracts features, and trains a model to keep your inbox clean.

machine-learning-models machine-learning-projects

Last synced: 24 Mar 2025

https://github.com/smit-joshi814/mlp

Machine Learning Using Python

classification decision-trees k-means-clustering knn machine-learning machine-learning-models matplotlib numpy pandas regression seaborn svm

Last synced: 30 Jul 2025

https://github.com/shafaq-aslam/predicting-heart-disease-risk-with-logistic-regression-techniques

Develop a predictive model using logistic regression techniques to assess heart disease risk based on patient health metrics and data analysis.

data-analysis heart-disease logistic-regression machine-learning machine-learning-models matplotlib numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/jigyasag18/iit-guhawati

Empower Sakhi is a data-driven platform that uses machine learning to identify women at risk of domestic violence in India. It offers confidential self-assessments, survivor stories, and emergency resources through a trauma-informed, privacy-focused web app. The project also provides NGOs with actionable insights via Power BI dashboard for support.

aiml data dataset datavisualization domestic-violence eda jupyter-notebook label-encoding machine-learning machine-learning-algorithms machine-learning-models machinelearning machinelearningprojects powerbi python python-app random-forest random-forest-classifier streamlit streamlit-webapp

Last synced: 28 Jun 2025

https://github.com/bhavinpatel4199/machine-learning-framework

This repository, showcases various projects that explore key concepts in both supervised and unsupervised learning, with a focus on real-world applications. The projects utilize a range of machine learning techniques, including data preprocessing, feature selection, exploratory data analysis (EDA), and model optimization.

classification clustering data-science data-structures data-visualization exploratory-data-analysis machine-learning machine-learning-algorithms machine-learning-models pandas-dataframe predictive-modeling preprocessing-data sklearn supervised-learning unsupervised-learning

Last synced: 20 Jan 2026

https://github.com/ruoheng-du/human-bot-account

Identifying Human and Bot Accounts on Twitter Using Machine Learning | Fall 2024

bot-detection classfication-model feature-engineering kaggle-dataset machine-learning-models social-media-analysis twitter-bot

Last synced: 05 Mar 2025

https://github.com/elprofesoriqo/milab

The segmentation of lumbar spine MRI images to identify key anatomical structures related to lumbar spinal stenosis.

machine-learning machine-learning-images machine-learning-models python scikit-learn

Last synced: 02 Jan 2026

https://github.com/m-hussain-x199/data-science

Projects related Data Visualisation, Cleaning, Preprocessing, Machine Learning, Deep Learning, ANN and CNN Projects and Model Training and Model Evaluation

data-cleaning-and-preprocessing data-science data-visualisation machine-learning machine-learning-models model-training-and-evaluation neural-networks

Last synced: 12 May 2025

https://github.com/rembertdesigns/nfl-big-data-bowl-2026

Predictive modeling using pre-snap NFL tracking data to anticipate play outcomes for the 2026 Big Data Bowl. Includes feature engineering, data pipelines, and exploratory football analytics.

analytics big-data-bowl graph-neural-networks machine-learning machine-learning-models nfl nfl-stats predictive-modeling sports-analytics tracking-data

Last synced: 21 Jul 2025