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AI for Finance [Video], by Packt Publishing
Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to perform machine learning tasks securely with Amazon SageMaker Studio.
Automated Machine Learning on Databricks
Databricks Academy Training - Python
Literature references for “Designing Data-Intensive Applications”
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Feature engineering package with sklearn like functionality
Gentle introduction to Dask
Hands-On Artificial Intelligence for IoT, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Interactive Parallel Computing in Python
LSTM CNN Rare Event Prediction. --Under development--
Basic CDK Pipeline
An example MLflow project
Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.
Capturing model drift and handling its response - Example webinar
Jupyter notebook and datasets from the pandas Q&A video series
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
:robot::zap: Daily scikit-learn tips
Distributed scikit-learn meta-estimators in PySpark
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.