Amazon AWS VS Scikit-learn

Amazon AWS Reviews

1. macloughlin

   | AV engineer | 10 months ago
   The best cloud platform out there

   You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.

   👍 Pros:    Great documentation|Website structure visualization|You have control over everything|Flexibility

   👎 Cons:    Learning curve|A lot of dashboards for different things

Scikit-learn Reviews

Amazon AWS mentions (364)

• A Brief History Of Serverless

  In 2006, Amazon launched EC2 and S3 which was the foundation of the first major cloud platform, AWS. Amazon decided to essentially provide their users with storage and virtual machines to operate. They had excess servers in their datacenters and saw this as an opportunity to make some extra money. - Source: dev.to / 8 days ago

• Day 1: Introduction to AWS

  To start using AWS, you need to create an AWS account. You can sign up for an AWS account at https://aws.amazon.com/. Once you have an account, you can access the AWS Management Console, which is a web-based interface for managing AWS services. - Source: dev.to / 10 days ago

• Tutorial 1: Getting Started with AWS (Shoutout to TechTobe101's Youtube Channel)(3/5)

  Image credits: All images are sourced from the AWS website (https://aws.amazon.com/). - Source: dev.to / 22 days ago

• SMTP & mailutils: How to send your mails via the Linux terminal.

  For this article, you will need: i. A Google account for your app password generation Ii. A Linux terminal. I used the AWS console. You can sign up for a free 1yr tier account here. - Source: dev.to / 23 days ago

• Server Configuration and Deployment for Java Applications in AWS

  If you don’t already have an AWS account, sign up for one at https://aws.amazon.com/. Once you have an account, log in and go to the Elastic Beanstalk service. - Source: dev.to / about 1 month ago

Scikit-learn mentions (28)

• 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 / 3 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 / 11 months 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

• Help on using R for Machine Learning?

  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