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Sense HQ VS Scikit-learn

Compare Sense HQ VS Scikit-learn and see what are their differences

Atlas HXM
Atlas HXM is the largest Direct Employer of Record (EOR) technology platform, supported by experts, that delivers flexibility for companies to expand across borders, onboard talent, manage compliance, and pay their global workforce. featured
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Sense HQ logo Sense HQ

Sense automates, personalizes and optimizes communications for key stages of the candidate and contractor lifecycle, while uncovering actionable insights to increase engagement and lower attrition.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Sense HQ Landing page
    Landing page //
    2023-05-22
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Sense HQ

Website
sensehq.com
$ Details
-
Release Date
2015 January
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Alex Rosen
Employees
50 - 99
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Scikit-learn

Website
scikit-learn.org
$ Details
Release Date
-
Edit details

Sense HQ videos

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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 Sense HQ and Scikit-learn)

Sense HQ

Scikit-learn

Recruitment
100 100%
Recruitment
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
HR
100 100%
HR
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 Sense HQ and Scikit-learn

Sense HQ Reviews

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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.

Sense HQ mentions (0)

We have not tracked any mentions of Sense HQ yet. Tracking of Sense HQ 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: over 1 year ago
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What are some alternatives?

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

Kronos Workforce Dimensions - The Workforce Dimensions product suite helps meet both today’s and tomorrow’s business challenges by bringing industry-first, intelligent technologies to managing your most valuable resource: your people.

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

ADP Workforce Now - ADP Workforce Now provides cloud-based software, expert support and predictive analytics for data-driven insights.

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

talentReef - talentReef is an all-in-one social recruiting and talent management platform.

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

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