Docker Reviews

Scikit-learn Reviews

Docker mentions (64)

• Build a type-safe and event-driven Uptime Monitor in TypeScript

  Now make sure you have Docker installed and running, and then restart encore run to cause the site database to be created by Encore. Then let's call the site.add endpoint:. - Source: dev.to / 16 days ago

• How to Dockerize a Nextjs Application Using Docker

  Docker is a platform designed to simplify the process of building, shipping, and running applications. It uses containerization technology to package an application and its dependencies into a standardized unit, called a container. Containers are lightweight and portable, and ensure that the application runs consistently across different environments like Windows and Linux. - Source: dev.to / about 1 month ago

• Building an Appointment Booking app in Go

  To run locally you need to have Docker installed and running. - Source: dev.to / 6 months ago

• Deploying a Go backend to Kubernetes with Automatic Cluster Provisioning

  To run the application locally, make sure you have Docker installed and running. This is required to run Encore applications with SQL databases. - Source: dev.to / 7 months ago

• Building an event-driven system in Go using Pub/Sub

  🥐 Let's try it! Make sure you have Docker installed and running, then run encore run in your terminal and you should see the service start up. - Source: dev.to / 7 months ago

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 13 days ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  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 / about 1 year ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  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: about 1 year ago