Software Alternatives, Accelerators & Startups

Scikit-learn VS Send Anywhere

Compare Scikit-learn VS Send Anywhere and see what are their differences

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Send Anywhere logo Send Anywhere

Send whatever you want, wherever you want
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Send Anywhere Landing page
    Landing page //
    2023-05-13

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Send Anywhere videos

👍INCREDIBLE APP👍SEND ANYWHERE! SEND ANYTHING TO ANYONE FAST & FREE ALL DEVICES/PLATFORMS!

More videos:

  • Review - Send Anywhere App Review For Android and IOS
  • Review - Send Anywhere (File Transfer) App Review | Vs Professional Group | Tamil

Category Popularity

0-100% (relative to Scikit-learn and Send Anywhere)
Data Science And Machine Learning
File Sharing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Cloud Storage
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 Scikit-learn and Send Anywhere

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...

Send Anywhere Reviews

13 WeTransfer Alternatives (Free) in 2022
Send Anywhere is file-sharing software that takes an easy, quick, and unlimited approach to file sharing. It is one of the best WeTransfer competitors which provides service for unlimited file storing and sharing, but their speeds and usability is compromised.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Send Anywhere. It has been mentiond 29 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.

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 / 20 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
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Send Anywhere mentions (15)

  • Can someone who is on steam please upload the Air dribble hoops workshop map for those of us on epic? Since it's impossible to get the map through the workshop map downloader plugin.
    Yeah thanks that would be awesome. You can upload it on https://send-anywhere.com/ or something like that. Source: about 1 year ago
  • How do i send photos from pc to iPhone over Bluetooth
    I personally use sendanywhere. https://send-anywhere.com/. Source: over 1 year ago
  • Pictures to iPhone
    In order to send the image or video exactly as it was taken then the best options from the S22 are QuickShare where the files are uploaded to the cloud and a link is shared or via a third partly like https://send-anywhere.com/. Source: over 1 year ago
  • Trying to transfer mimikatz.exe to the target machine in wreath room but it isn’t working look at screen shots, help please
    Use https://send-anywhere.com/ to send files to and from your machine to the attack machine. It has worked for me multiple times. Source: over 1 year ago
  • Best way to syncronise Project Progress between Devices?
    I mainly use Godot on my Desktop PC at home. But I would also like to be able to work on my Projects via my Laptop because I often get Ideas while away from home. I once used send anywhere to copy a couple of scripts onto my Laptop to work on them and just replace the Files afterwards, but I'm unsure if this approach would work well with an entire Project. Source: over 1 year ago
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What are some alternatives?

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

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

WeTransfer - WeTransfer is a free service to send big or small files from A to B.

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

ShareDrop - HTML5 clone of Apple's AirDrop - easy P2P file transfer powered by WebRTC

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

SHAREit - SHAREit allows you to transfer files and data from your phone to another device without having to rely on WiFi or a data plan.