Based on our record, Scikit-learn should be more popular than Dokku. It has been mentiond 27 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: 12 months ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
Yeah there are a bunch of selfhostable things: Caprover (https://caprover.com/) Dokku (https://github.com/dokku/dokku. - Source: Hacker News / 2 months ago
Considering other orchestration tools like dokku, dcos, deis, flynn, docker swarm, etc.. Kubernetes is no where near to them in terms of lines of code, on an average those tools are around 100k-200k lines of code. Source: over 1 year ago
Other interesting projects to also follow: * Caprover * Dokku. Source: over 1 year ago
If I could make a recommendation, it would be to give Dokku a try. (Disclaimer: not affiliated, but like the project so much I sponsor it. My opinions are biased towards it.). Source: almost 2 years ago
My next favorite option is to host on a DigitalOcean VM. You can use Dokku to get your own mini-Heroku PaaS, or manage the VM yourself (following Microsoft's documentation). You can get a $100 60-day credit from a referral link - A good way to get started. Source: almost 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
OpenCV - OpenCV is the world's biggest computer vision library
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
NumPy - NumPy is the fundamental package for scientific computing with Python
Google Cloud Functions - A serverless platform for building event-based microservices.