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
An Elixir API wrapper for the Fleet REST API
The main features of jordan0day/fleet-api are: Cloud Infrastructure And Management.
Open-source alternatives to jordan0day/fleet-api include: donnemartin/data-science-ipython-notebooks — This project is a collection of interactive Python notebooks and educational resources designed for mastering data… aws-beam/aws-elixir — AWS clients for Elixir. 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. ahamtech/elixir-leaseweb — Leaseweb API Wrapper for Elixir and Erlang.
