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🌊 Import Satori data to Druid with about 50 lines of Python
A general purpose metrics monitor implemented with Apache Spark. Kafka source, Elastic sink, aggregate metrics, different analysis, notifications, actions, live configuration update, missing metrics, ...
Draft of the fastai book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Deploying PySpark ML Model on Google Compute Engine as a REST API
Code for the Hadoop Fundamentals for Data Scientists course.
Hands-On Ensemble Learning with Python, published by packt publishing
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Build serverless applications with Apache OpenWhisk
Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
IoT Trucking App with Spark Structured Streaming
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Pythonic Perambulations website
Simple examle for Spark Streaming over Kafka topic
Use Kafka and Apache Spark streaming to perform click stream analytics
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, DeepLearning4 and other technologies.
Scala examples for learning to use Spark
Real-time (Nginx, PHP, syslog, "mysqladmin extended") log file analysis and plotting using Python, mongoDB, Orbited, and flot
A collection of system log datasets for massive log analysis
A log analysis toolkit for automated anomaly detection
Transform ML models into a native code (Java, C, Python, etc.) with zero dependencies
Coursera Assignment and Project
Python code for common Machine Learning Algorithms
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Source Code for the book: Machine Learning in Action published by Manning
MachineLearning examples using Spark MLIB and Databricks
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.