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Scikit-learn VS Google Recommender API

Compare Scikit-learn VS Google Recommender API and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

Scikit-learn logo Scikit-learn

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

Google Recommender API logo Google Recommender API

Google Recommender API is a service on Google Cloud that provides usage recommendations for Google Cloud resources.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Google Recommender API Landing page
    Landing page //
    2023-10-03

Scikit-learn videos

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Learning Scikit-Learn (AI Adventures)

More videos:

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

Google Recommender API videos

No Google Recommender API 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 Google Recommender API)

Scikit-learn

Google Recommender API

Data Science And Machine Learning
98 98%
Data Science And Machine Learning
2% 2
AI
0 0%
AI
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
eCommerce
0 0%
eCommerce
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 Google Recommender API

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...
Source: searchbusinessanalytics.techtarget.com

Google Recommender API Reviews

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Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 28 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 (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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Google Recommender API mentions (0)

We have not tracked any mentions of Google Recommender API yet. Tracking of Google Recommender API recommendations started around Mar 2021.

What are some alternatives?

When comparing Scikit-learn and Google Recommender API, 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.

RecoMind.io - Personalized recommendations at scale

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

AWS Personalize - Real-time personalization and recommendation engine in AWS

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

Wrench.ai - Wrench helps to unleash your marketing and sales potential using data science and artificial intelligence.

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