Software Alternatives, Accelerators & Startups

Memrise VS Scikit-learn

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

Memrise logo Memrise

Learn a new language with games, humorous chatbots and over 30,000 native speaker videos.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Memrise Landing page
    Landing page //
    2023-09-17
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Memrise videos

MEMRISE REVIEW - Does Memrise Suck?

More videos:

  • Review - Memrise Review: A Useful Supplementary Tool But Not Sufficient By Itself | ALR
  • Review - A Polyglot Reviews Memrise (For Language Learning) - "First Impressions", Etc.

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 Memrise and Scikit-learn)
Studying
100 100%
0% 0
Data Science And Machine Learning
Language Learning
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 Memrise and Scikit-learn

Memrise Reviews

14 Best Duolingo Alternatives to Learn New Languages
Similar to Duolingo, Memrise presents vocabulary lessons in a game-style manner. But on top of this, Memrise courses also include audio and video clips of locals. This adds another level of nuance and depth to the lesson.
The 10 Best Duolingo Alternatives You NEED to Try
Now, if you’ve been in the language-learning game for a while, you have heard of Memrise. It’s predominantly run by contributors from all over the world so you’ll be able to find games, pre-made flashcards, and quizzes on all kinds of topics, including a ton of languages.
10 Best Anki Alternatives 2022
Memrise describes itself as a platform that helps you to learn the languages that locals use. This means that Memrise is more focused on language learning than other subjects. And it certainly is fun – it uses game-like elements to make learning more engaging.
10 Best language learning apps 2022
The fun of Memrise lies in two things: memes and gamification. The app follows a learning method that relies on creating funny or bizarre associations with the studied words. Courses are often coupled with memes designed to playfully help remember the vocabulary. The memes are created by the community and everyone can add their own! Both earning, revising and creating memes...
Anki Alternatives – 9 Similar Learning Apps You Need To Know
Similar to Anki, Memrise relies on spaced repetition – however, not exclusively with flashcards, but with different learning modes, such as quizzes. The core elements of Memrise courses are the videos, which immerse you in real everyday situations with “locals”. In this way, you learn truly authentic language from native speakers.
Source: tools2study.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...

Social recommendations and mentions

Memrise might be a bit more popular than Scikit-learn. We know about 42 links to it since March 2021 and only 29 links to Scikit-learn. 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.

Memrise mentions (42)

  • I want to surprise my Ukrainian wife and learn Ukrainian
    Memrise.com offers Ukrainian learning right now. Source: about 1 year ago
  • What is the best method to learn Japanese?
    If you want a guided course try Memrise or Duolingo. Source: about 1 year ago
  • I'm probably saying goodbye to Duolingo with a one-hundred-day streak.
    It is slow and designed to be easy. In its defense it is a casual app designed to be used casually. On the other hand, I took the German and Dutch courses in 2019-2020 and got enough basis in them to be able to now listen/watch content in the languages and to learn from the languages. I continued the German through many of https://learngerman.dw.com excellent courses. Which certainly took me further and got me... Source: about 1 year ago
  • I want to speak to my Turkish grandparents in 4 months time
    I learnt some basics from the site memrise.com and im still learning. Even talking with my turkish friends and their family helps me a lot to get better. Everytime I have the chance to speak with someone in turkish, I do it, no matter if im good or not. Everyone I met so far, was so kind and was surprised about it why I'm learning it and they helped me. Source: about 1 year ago
  • Im so confused
    To learn words I use http://memrise.com and I find it very helpful: nouns are always with their definite article. Source: about 1 year 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 / 13 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 Memrise and Scikit-learn, you can also consider the following products

Duolingo - Duolingo is a free language learning app for iOS, Windows and Android devices. The app makes learning a new language fun by breaking learning into small lessons where you can earn points and move up through the levels. Read more about Duolingo.

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

Busuu - Join the global language learning community, take language courses to practice reading, writing, listening and speaking and learn a new language. Learn English with busuu's .

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

Anki - Anki is a program which makes remembering things easy. Because it's a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn.

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