Software Alternatives, Accelerators & Startups

Vultr VS Scikit-learn

Compare Vultr VS Scikit-learn and see what are their differences

Vultr logo Vultr

VULTR Global Cloud Hosting - Brilliantly Fast SSD VPS Cloud Servers. 100% KVM Virtualization

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Vultr Landing page
    Landing page //
    2022-10-07
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Vultr videos

Vultr Cloud Server Review

More videos:

  • Review - SITEGROUND VS VULTR REVIEW 🤑 HONEST 💯 PROMO CODES
  • Review - Digital Ocean VS Vultr VS Linode for Don't Starve Together Dedicated Servers

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Vultr and Scikit-learn)
Cloud Computing
100 100%
0% 0
Data Science And Machine Learning
Cloud Infrastructure
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Vultr and Scikit-learn

Vultr Reviews

Best Linux VPS [Top 10 Linux VPS Provider 2024]
Like DigitalOcean, Vultr can be hard to navigate through. They offer many different VPS services that can confuse you if you need a standard Linux VPS. Their prices vary from plan to plan, but they can get as high as $14.000 a month, depending on your needs. Vultr also has a strict policy about not offering a refund guarantee. If you are looking for a basic Linux VPS, Vultr...
Source: cloudzy.com
Top 50 Cheapest Cloud Services Providers | Affordable Cloud Hosting
Vultr is a low-cost cloud hosting service that offers monthly plans starting at $2.50. Vultr’s plans are very similar to DigitalOcean’s; in fact, Vultr’s cloud plans are more affordable. The most basic plan costs $2.50 per month and includes 20GB SSD storage, 512 RAM, 1 CPU core, and 500GB bandwidth. The next package costs $5 and includes a 25GB SSD, 1 CPU, 1024 RAM, and...
13 Best Windows VPS and Cloud Hosting Platform
Vultr servers are built on Intel core CPU and got multiple locations worldwide. There is no long-term contract.
Source: geekflare.com
Best Vultr Alternatives and Competitor Cloud Services of 2022
Scaleway is another well reputed Vultr competitor that offers cloud based solutions such as virtual instances, GPU instances, Bare metal cloud servers, Kubernetes Kapsule, and various block storage services. Similar to Vultr pricing, they also have cheaper prices as well as the best money value packages. Some large enterprises like Adobe, Dailymotion, Safran, Seloger, and...
Top 10+ Alternatives to DigitalOcean
Vultr is another DigitalOcean alternative that provides its cloud computing services with high-performance cloud servers. Vultr provides cloud computing services with its powerful control panel and APIs.

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Vultr should be more popular than Scikit-learn. It has been mentiond 58 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.

Vultr mentions (58)

  • Switching from Squarespace to WooCommerce. Not a dev.
    Vultr.com pick the $5 monthly plan and enable backup. Source: 6 months ago
  • Recommendation request - no transfer limit and allows custom images, <=$10/mo
    Most reputable places out there will allow everything above (and match your budget), such as Linode, or Vultr (there are others). Source: 9 months ago
  • Lamp Stack website
    I recommend Hetzner or Vultr as a VPS provider as they're cheap and I/my friends have had good experiences with them. Source: 10 months ago
  • VPS servers
    Am I allowed to use VPS servers from vultr to use honeygain. Source: about 1 year ago
  • Unlimited bandwidth vps cloud service in India?
    Linode (Mumbai) and DigitalOcean (Bangalore) each have a single DC in India, and Vultr has 3 (Mumbai, Bangalore, Delhi). Source: about 1 year ago
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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 / 3 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 / 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 / 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
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What are some alternatives?

When comparing Vultr and Scikit-learn, you can also consider the following products

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.Sign up to Linode through SaaSHub and get a $100 in credit!

OpenCV - OpenCV is the world's biggest computer vision library

Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

NumPy - NumPy is the fundamental package for scientific computing with Python