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Clarity Wave VS Scikit-learn

Compare Clarity Wave VS Scikit-learn and see what are their differences

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

Clarity Wave logo Clarity Wave

Clarity Wave allows to determine the quality of employees, their opinions of their workplace, and areas where they can improve.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Clarity Wave Landing page
    Landing page //
    2022-03-23
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Clarity Wave videos

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EPIC - by Clarity Wave

More videos:

  • Review - EPIC, By Clarity Wave - Employee Surveys to drive engagement

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.

Category Popularity

0-100% (relative to Clarity Wave and Scikit-learn)

Clarity Wave

Scikit-learn

CD Image Creator
100 100%
CD Image Creator
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Employee Engagement
100 100%
Employee Engagement
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Clarity Wave and Scikit-learn. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Clarity Wave and Scikit-learn

Clarity Wave Reviews

Tinypulse vs Culture Amp vs Clarity Wave
Clarity Wave — Clarity Wave’s emphasis on psychological concepts such as the Pyramid of Needs, the Essential Factors and the Wheel of Dimensions and Sub-dimensions creates a platform that focuses on the employees’ self-improvement – an important factor in creating employee engagement. While each of these three software platforms use 360° feedback, Clarity Wave’s peer-driven...
Source: www.claritywave.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.

Clarity Wave mentions (0)

We have not tracked any mentions of Clarity Wave yet. Tracking of Clarity Wave 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 / 11 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 Clarity Wave and Scikit-learn, you can also consider the following products

Qualtrics Employee Experience - Qualtrics Employee Experience Management Platform helps improve the way people make decisions by creating amazing employee experiences.

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

TINYpulse Engage - Increase Your Employee Engagement. Instantly.

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

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