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Fond VS Scikit-learn

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

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Fond logo Fond

Fond employee engagement platform helps companies increase employee happiness with recognition, rewards, perks and survey programs to maximize impact..

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Fond Landing page
    Landing page //
    2023-02-04
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Fond videos

+ Add

FOND DE TEN VICHY MINERALBLEND REVIEW + PURTARE 7 ZILE l OANA FESNIC

More videos:

  • Review - Review TEST - Fond de ten Oriflame Sync
  • Review - Fond de ten Ieftin | Review Essence Insta Perfect Liquid Makeup

Scikit-learn videos

+ Add

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 Fond and Scikit-learn)

Fond

Scikit-learn

HR
100 100%
HR
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
HR Tools
100 100%
HR Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
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 Fond and Scikit-learn

Fond Reviews

The Best Employee Recognition Software Platforms & Reward Programs Used By Notable Companies In 2022
Fond makes company-wide recognition easier than ever. With a social feed that can be accessed from any device, any time, anywhere, this employee reward system supports virtual, global recognition for diverse teams. Plus, users have access to a massive catalogue of rewards and exclusive discounts all over the world.
Source: snacknation.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...
Source: searchbusinessanalytics.techtarget.com

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.

Fond mentions (0)

We have not tracked any mentions of Fond yet. Tracking of Fond recommendations started around Mar 2021.

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: about 1 year ago
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What are some alternatives?

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

15Five - 15Five software elevates the performance and engagement of employees by consistently asking questions and starting the right conversations.

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

Officevibe - Officevibe is an employee survey platform with the mission of improving company culture. Measure and improve your culture in less than 5 minutes per month, with our simple surveys.

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

Kudos - Kudos is the simple and easy to use employee recognition software that enhances employee engagement and team communication.

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

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