Software Alternatives, Accelerators & Startups

Scikit-learn VS Rev.com

Compare Scikit-learn VS Rev.com 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.

Rev.com logo Rev.com

Transcriptions, captions, and subtitles that are affordable, fast, and high-quality.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Rev.com Landing page
    Landing page //
    2023-05-02

Rev.com

Website
rev.com
$ Details
-
Release Date
2010 January
Startup details
Country
United States
State
Texas
City
Austin
Founder(s)
Dan Kokotov
Employees
250 - 499

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Rev.com videos

MAKING EASY MONEY ON REV.COM: Scam or Worth it?

More videos:

  • Review - HOW MUCH CAN YOU MAKE IN 1 WEEK ON REV? Rev.com Review (2019)
  • Review - Review of Rev.com: Is Rev Worth It?

Category Popularity

0-100% (relative to Scikit-learn and Rev.com)
Data Science And Machine Learning
Transcription
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Translation Service
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 Rev.com

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...

Rev.com Reviews

We have no reviews of Rev.com yet.
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Social recommendations and mentions

Based on our record, Rev.com should be more popular than Scikit-learn. It has been mentiond 78 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 / 15 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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Rev.com mentions (78)

  • **Unlocking Financial Freedom: Your Ultimate Guide to Making Money from Home**
    15. Transcription Services: If you have excellent listening and typing skills, transcription work can be a viable option. Platforms like TranscribeMe and Transcribe Speech to Text | Rev offer transcription gigs that allow you to earn money from home. Source: 10 months ago
  • Can I automate text replacement?
    It seems like you could send it out to a translation company (like rev.com) and get a .srt that you could re-import back into Premiere. https://www.youtube.com/watch?v=uWlm6ZCfdsQ. Source: about 1 year ago
  • I Wanna be rich
    Freelancing by learning a skill, but also subtitles on rev.com, and if you are proficient at more than one language, try for online (live) translation job. Source: about 1 year ago
  • Online work for someone in a 3rd world country?
    There are also things like rev.com or jobsforeditors.com or various other things like teaching english online. Source: about 1 year ago
  • How can I use my english?
    I've recently started to consider the different ways to make money using my knowledge of english and I found out that I can have a job as a subtitler/captioner, the only problem being that I need to send a video of me speaking in english and you may ask what's the problem with that, well I'm 15 and I'm supposed to be at least 18 to work as a subtitler on this website (rev.com if anyone cares) . Does anyone know... Source: about 1 year ago
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What are some alternatives?

When comparing Scikit-learn and Rev.com, 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.

One Hour Translation - Professional translation services for 75 languages on a 24/7 basis.

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

3PlayMedia - 3PlayMedia provides closed captioning, transcription, and subtitling solutions.

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

ABBYY - ABBYY's leading AI and machine learning technology solutions range from process analysis, data capture, pdf editor, text and content recognition (OCR) and extraction, combining process and content insights to deliver digital intelligence.