Software Alternatives, Accelerators & Startups

WhatsApp VS Scikit-learn

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

WhatsApp logo WhatsApp

WhatsApp Messenger: More than 1 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • WhatsApp Landing page
    Landing page //
    2023-04-18
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

WhatsApp

$ Details
free
Platforms
Mobile Desktop
Release Date
2009 January
Startup details
Country
United States
State
California
Founder(s)
Brian Acton
Employees
1,000 - 1,999

WhatsApp videos

WhatsApp Web - Full Review & Tutorial

More videos:

  • Review - How to Use Whatsapp - 2020 Beginner's Guide
  • Review - Whatsapp Web | Everything You Need To Know!
  • Review - What is WhatsApp? A Review
  • Review - What is WhatsApp & How Does it Work? | WhatsApp Guide Part 1

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 WhatsApp and Scikit-learn)
Communication
100 100%
0% 0
Data Science And Machine Learning
Messaging
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 WhatsApp and Scikit-learn

WhatsApp Reviews

  1. BEST APP FOR PRIVATE CHATTING

    I AM USING WHATSAPP SINCE 2015 AND STILL CURRENTLY USING IT HELPS ME TO GET IN TOUCH WITH MY FRIEND AND RELATIVES AND NOW IT ALSO HELPS ME TO DO PAYMENT VIA WHATSAPP.

    🏁 Competitors: Skype
    👍 Pros:    Free to use|Easy to use
    👎 Cons:    Nothing, so far

20 Telegram Alternatives to Chat With in 2024
WhatsApp’s other claim to fame is its security features, with end-to-end encryption. These security features, although not perfect, are still considered much better than Telegram’s. WhatsApp does a good job replicating Telegram’s chat features, but isn’t the best replacement for building groups of people who don’t know each other or for live streaming.
10 Best Telegram Alternatives in 2024
Whatsapp is a very famous app similar to Telegram and it is widely used for communication across the world, some of the widely used features also includes group messaging, private or group calls, all can be done through end-end encryption. Apart from these features people also put a status of about 24 hours.
Top 10 Apps like Telegram for Android and IOs [2023]
WhatsApp's recently announced 'community' feature successfully engaged existing users and onboarded numerous communities. WhatsApp has a distinct platform wherein business users can easily interact. It supports up to 2 billion people using it worldwide, allowing you to engage audiences, accelerate sales, and improve customer service outcomes. Furthermore, it enabled...
The best WhatsApp alternatives for 2023
However recent developments have started hammering home WhatsApp's relationship to parent company Facebook. The same Facebook that's almost constantly in the news for some major controversy or another. The controversy over the WhatsApp privacy policy, which many understood to mean WhatsApp would start sharing more information with Facebook — with rumors that the contents of...
The 7 best apps you can use as a WhatsApp alternative
WhatsApp has achieved its widespread global popularity thanks to its multi-platform support, secure encryption, and wide array of communication features. But the app isn't for everyone, and you might be looking for a WhatsApp alternative that mimics many of the best aspects of the app. Here are seven of the best alternatives to WhatsApp.

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

Scikit-learn might be a bit more popular than WhatsApp. We know about 29 links to it since March 2021 and only 24 links to WhatsApp. 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.

WhatsApp mentions (24)

  • User-facing/client-side tools for internet troubleshooting
    Hi everyone. The other day a client of mine's employees started having issues with the "internet not working". After some detective work with traceroute and interviewing them about what sites they were having issues with, I determined that the actual issue was with the web.whatsapp.com service having downtime. I'm mentioning all this because I'm now thinking of making them a small video/article on our intranet... Source: 7 months ago
  • Is WhatsApp Web down in Oman?
    I believe web.whatsapp.com is being blocked by local telecom companies in order to protect their duopoly and keep Oman in tech--stone-age. If fewer people know how else the rest of the world uses the internet, then they don't have to make an effort to improve their offerings. Omantel is definitely blocking this web.whatsapp.com. Source: 7 months ago
  • Open Letter to WhatsApp: Need for a Linux Desktop App
    What's wrong with https://web.whatsapp.com/ ? Source: 7 months ago
  • Best app, like, ever?
    Whatsapp (Free) - chat. Although some people prefer iMessage and other ones. Source: 7 months ago
  • WhatsApp Mac Client - can I have it installed two times?
    Use browser for one account https://web.whatsapp.com/ and app for the other. Source: 8 months ago
View more

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 / 16 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
View more

What are some alternatives?

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

Telegram - Telegram is a messaging app with a focus on speed and security. It’s superfast, simple and free.

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

Signal - Fast, simple & secure messaging. Privacy that fits in your pocket.

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

Skype - Stay in touch with your family and friends for free on Skype. Download Skype today to chat and call on desktop and mobile.

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