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Scikit-learn VS Snap Map for Web

Compare Scikit-learn VS Snap Map for Web 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.

Snap Map for Web logo Snap Map for Web

Snap Map, now on the web 🌎
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Snap Map for Web Landing page
    Landing page //
    2022-10-06

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Snap Map for Web videos

No Snap Map for Web videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Scikit-learn and Snap Map for Web)
Data Science And Machine Learning
Tech
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Communication
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 Snap Map for Web

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...

Snap Map for Web Reviews

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Social recommendations and mentions

Scikit-learn might be a bit more popular than Snap Map for Web. We know about 28 links to it since March 2021 and only 25 links to Snap Map for Web. 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 (28)

  • 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 / 12 months 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
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago
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Snap Map for Web mentions (25)

  • Possible street takeover on east Burnside near Union Jacks.
    If you go to the Snapchat map Snapchat map in that area, you can see the snaps. Source: almost 2 years ago
  • Which country would you love to visit for free?
    I just learned that you can view snap maps without having a Snapchat account/app (https://map.snapchat.com/) and it did help me realize how ignorant my assumptions about a lot of countries were. Source: about 2 years ago
  • Anyone know of social media heatmaps?
    I recently found out about this site while reading about Ukraine. Are there similar sites for Facebook, IG, Reddit, etc.? I'm interested mainly in seeing the rough number of users in my city of various social media sites for historical archiving. So far all I could find are basic stats like the total number of x or y platform users. A breakdown by city/state/province would be amazing. Source: about 2 years ago
  • Does anybody have a good live stream right now in Kyiv?
    Go to https://map.snapchat.com/ and zoom in on your area of interest. Source: over 2 years ago
  • Does anyone know why Japan has such a depressingly high mask compliance?
    SS: their leaders have been fairly laid back. Compared to fascist NZ, Austria, Austraila, Canada and even some large major cities in the US. But via https://map.snapchat.com/ and 4k walking videos. I noticed they have the highest mask compliance of anywhere in the world. Source: over 2 years ago
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What are some alternatives?

When comparing Scikit-learn and Snap Map for Web, 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.

Snapchat Memories - Save and search for snaps on Snapchat

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

Pepperfilters - Pepper's Snapchat Geofilter creator allows you to easily create a custom snapchat geofilter for your birthday, wedding or event.

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

New Snapchat - The new Snapchat, redesigned to separate social from media