tahangz/ML-Playground

A collection of hands-on projects exploring machine learning concepts using scikit-learn. Each project demonstrates a key ML technique (i.g, classification, regression, clustering, dimensionality reduction, etc.) with clean, well-documented code for learning and experimentation.

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nithinbadicodes/AI-ML-Projects

Projects on AI/ML

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BenGJ10/Machine-Learning-Projects

Contains various Machine Learning related projects in one place.

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vincensiuselang/Pratice-Machine-learning-

This repository contains my learning outcomes and project results using Machine Learning. *Note* This repository is not yet complete.

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Toshaksha/notes-repo

My personal notebook for learning Python and ML - feel free to explore or contribute!

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Mahdi-hasan-shuvo/ML-opensource-project

is an open source repository focused on providing practical and educational machine learning resources. The project aims to make learning and applying machine learning more accessible through well-documented code, tutorials, and real-world examples.

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MuhammadTahaNasir/Machine_Learning_Track-Elevvo

A comprehensive machine learning learning track featuring hands-on projects and practical implementations of various ML algorithms and techniques.

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MuhammadUsman-Khan/Spam-Mail-Prediction

A machine learning model that classifies emails as spam or ham (not spam) using Logistic Regression. Includes text preprocessing with TF-IDF vectorization and scikit-learn for model building and evaluation. Developed in Google Colab to demonstrate email classification using natural language processing

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MuhammadUsman-Khan/Loan-Status-Prediction

A machine learning model that predicts loan approval status based on applicant details using Support Vector Machine (SVM). The project includes data preprocessing, categorical encoding, and exploratory analysis with Seaborn. Built in Google Colab to demonstrate classification for financial decision-making.

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masum184e/ai_projects

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ppahuja82/Land-Cover-Semantic-Segmentation-PyTorch

Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

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AshokSirugudi/DataCamp_Projects_Portfolio

Showcasing: All Projects from DataCamp - Courses / Certifications, Challenges, Competitions

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busradeveci/ml-notebooks

📊 Building ML projects using Python, Scikit-learn & more.

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EchoSingh/ml-deeplearning-projects

A curated collection of machine learning projects focused on foundational and advanced deep learning models, including Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), and GoogLeNet. Perfect for students and enthusiasts exploring the core principles of ML and DL.

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MuhammadUsman-Khan/Fake-News-Prediction

A machine learning model that predicts whether news is real or fake using Logistic Regression. Includes data cleaning with NLTK, TF-IDF feature extraction, and scikit-learn for modeling. Built in Google Colab to demonstrate text classification and misinformation detection.

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Hasnat-Aarif-Aslam/Docker-for-Machine-Learning-Docker-Crash-Course

This repository contains well-structured notes on Docker, tailored specifically for Machine Learning workflows. It includes practical examples and use cases to help you containerize, deploy, and manage ML applications efficiently using Docker.

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KeneanDita/Churnomally

Where churn meets anomaly. Churnomaly is not just a churn predictor, it's an early warning system for customer escape velocity. Blending classic churn modeling with outlier-hunting intuition, Churnomaly dives deep into behavioral signals to uncover the subtle shifts that precede goodbye. Think of it as a radar for retention.

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snehitvaddi/RAG-Anything

Ask any question to your documents, PDFs, or SQL databases using GenAI for quick and accurate answers.

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souvikmajumder26/Land-Cover-Semantic-Segmentation-PyTorch

🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

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palak0321/ML-Capstone-Prediction-Projects

Hello! I'm Palak Yaduvanshi, a data science enthusiast with a passion for applying machine learning to solve real-world problems. I’m constantly learning and experimenting with new algorithms and tools to build impactful prediction models.

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negativenagesh/Arecaverse

Areca nut quality sorting is a manual process done by farmers, so this project is aimed to make areca nut quality sorting without human intervention

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paulinasanini/Machine-Learning-Projects

This folder contains a collection of machine learning projects showcasing my expertise in data science, AI modeling, and algorithm development. Each project includes source code, datasets (where applicable), and documentation.

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thomas-nynas/land-cover-semantic

End to End Promptable Semantic Segmentation project from traning to inferencing a model on LandCover.ai data

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AarambhaAnta/ml-project-generator

ML Project Generator – A simple and efficient CLI tool that automates the setup of machine learning projects. Instantly create a well-structured ML project with the right folders, boilerplate code, and dependencies in just one command! 🚀

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ronnie-allen/Music-Genre-Classification-with-CNN

A machine learning model for classifying music genres based on audio features. This repository contains the code and resources for building, training, and evaluating the model using popular libraries like TensorFlow and scikit-learn. It aims to predict the genre of music from raw audio data, providing a practical solution for music classification..

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gabriel-gonzales/ml_projects

Espaço dedicado à minha jornada de aprendizado em Machine Learning, abrangendo projetos práticos, experimentações e análises que ajudam a consolidar meu conhecimento e aplicá-lo em problemas do mundo real.

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kelixirr/AI-Projects

All my projects related to AI - Basic Ml Models To Deep Learning Projects All At One Place

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ansshhhhhh/Spam-Message-Detector

An End-to-End project to detect spam Text messages.

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Divyam6969/Heart-Disease-Prediction

Application made using Flask that runs on a ML Model trained using random forest classification model that helps in prediction of heart disease

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Divyam6969/Pneumonia-Detection-using-FastAI

This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask

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data-flair/machine-learning-projects

Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced

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Yarlagadda-saimanoj/Stress-Detection-ML

Explore the world of machine learning-based stress detection in social media posts. This project leverages Python to classify text as 'Stress' or 'No Stress,' offering valuable insights into mental health analysis.

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