This project is a collection of interactive Python notebooks and educational resources designed for mastering data science, machine learning, and numerical computing. It provides a series of practical guides and tutorials covering deep learning, big data processing, and statistical analysis. The repository features specialized instructional suites for implementing classical machine learning algorithms, building deep learning model architectures, and managing AWS cloud infrastructure. It includes dedicated notebooks for data visualization and numerical computing exercises. The project covers
Batteries Included is a Kubernetes based software platform for database, ai, web, monitoring, and more.
AWS clients for Elixir
The main features of aws-beam/aws-elixir are: Cloud Infrastructure And Management.
Open-source alternatives to aws-beam/aws-elixir include: donnemartin/data-science-ipython-notebooks — This project is a collection of interactive Python notebooks and educational resources designed for mastering data… basho/sidejob — Parallel worker and capacity limiting library for Erlang. batteries-included/batteries-included — Batteries Included is a Kubernetes based software platform for database, ai, web, monitoring, and more. bitwalker/libcluster — Automatic cluster formation/healing for Elixir applications. bounceapp/elixir-vercel — An Elixir wrapper for Vercel's API. ahamtech/elixir-leaseweb — Leaseweb API Wrapper for Elixir and Erlang.
