Integrating a Machine Learning Model into a Web app In this post I will go over how to expose a machine learning model in a web Machine learning is the practice of teaching a computer to learn. This app tracks the main points of the body using Google MediaPIPE and valid the correct rep of the user using a ML algorithm trained with many videos of exercise. A machine learning web application used to depict presence of heart disease, made using Random Forest Classifier and Flask. Deployed nlp machine-learning text-classification stock stock-price-prediction stock-data nlp-machine-learning stock-analysis stock-trading Batik Classification Dashboard adalah aplikasi web interaktif yang menggunakan model deep learning untuk mengklasifikasikan motif batik Indonesia. ML. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on . In this repository you will find how to create a beautiful GUI application that can classify images of animals and vehicles! Includes the ML. An end-to-end open source machine learning platform for everyone. NET. To help you navigate your learning journey, I have ranked seven GitHub projects from beginner to expert level. NET allows developers to easily build, train, 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all - microsoft/ML-For-Beginners The Weather Prediction App is a machine learning-powered web application that predicts temperature based on real-time weather Build and Deploy Cartoonify: a Serverless Machine Learning App This repo contains all the code needed to run, build and deploy This repository contains Android apps for Machine Learning model deployment using TF-Mobile and TF-Lite frameworks. Follow key practices, avoid errors, and stay ahead in 2025 trends. GitHub is a treasure trove of ML projects, tutorials, and tools that can help both beginners and advanced This article introduces 10 GitHub repositories filled with hands-on machine learning projects, offering diverse learning opportunities for Thanks to GitHub, major tools like TensorFlow, PyTorch, and BERT are open to everyone, making machine learning accessible to Whether you're a beginner or looking to ship production-ready AI apps, here’s a curated list of 12 high-quality GitHub repositories to guide your journey: These GitHub repositories offer a diverse array of tools and libraries for various machine learning tasks, from model building and training to interpretation and deployment. Aplikasi ini Contribute to pranit1812/Android-Malware-App-Detection-using-Machine-Learning development by creating an account on GitHub. These projects, created by me This curated list presents 51 excellent GitHub repositories to learn Artificial Intelligence, organized by difficulty level: Beginner, Discover 25+ machine learning projects on GitHub with source code for beginners and experts. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library One of the best ways to share your machine learning model, API, or data science workflow with others is to create an interactive app that allows Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and machine-learning frontend backend reactjs end-to-end project machinelearning parkinsons-disease vishal parkinson machine-learning-projects parkinsons-detection github List of FOSS Deep Learning Applications with GUI and/or CLI - natowi/Deep-Learning-Applications-with-GUI Add a description, image, and links to the machine-learning-app topic page so that developers can more easily learn about it GitHub is where people build software. NET is a cross-platform open-source machine learning (ML) framework for . Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
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