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MATLAB project describing the voltage of an action potential
Classification of 41 different Fruits using Machine Learning Techniques.
This project explores colors in various images and then enables the user to query the images based on a given color.
A system to predict and classify images using deep learning as a service
crop classification using deep learning on satellite images
classifying 3 types of fruit using keras
I used the Fruit 360 dataset hosted on the Kaggle website to classify fruit images into 131 different classes.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Build a deep learning model for classifying dog breeds from their images
Deep Learning for Image-based Food Classification
Machine learning group course work, satellite image object classification
Recognizing the genre of music files using machine learning and deep learning models
A machine learning example app: dog classification in the browser
Jupyter Notebook that can classify and visualize text files using Machine Learning
Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics
Deep learning network for traffic sign image classification
Is that wine good or bad? A beginner tutorial on how to build a binary classification machine learning model with no code using Azure Machine Learning Visual Interface
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.