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Internet of Things with Python and Raspberry Pi, published by Packt
Code Repository for TensorFlow 1.X Deep Learning Recipes for Artificial Intelligence Applications (v), Published by Packt
Advanced Deep Learning with Keras, published by Packt
Code repository for Analytics for the Internet of Things (IoT), published by Packt
Andreas C. Müller - Introduction to Machine Learning with Python
Air quality sensor analysis with pandas and python, using data from Munich, Germany.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Code for Applied Text Analysis with Python
“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.
Energy demand forecasting on Azure Machine Learning with Automated ML
AWS Machine Learning Guide
Azure IoT Development Cookbook, published by Packt
Machine learning datasets used in tutorials on MachineLearningMastery.com
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning for Time Series Classification
Enterprise Internet of Things Handbook, published by Packt
A functional, Data Science focused introduction to Python
Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi
Hands-On Artificial Intelligence for IoT, published by Packt
Hands-On Automated Machine Learning, published by Packt
Hands-On Deep Learning with TensorFlow, published by Packt
Hands-On Industrial Internet of Things, published by Packt
Notebooks and code for the book "Introduction to Machine Learning with Python"
Survival analysis in Python
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Sentiment Analysis with LSTMs in Tensorflow
LSTMS for Predictive Maintenance
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.