Software Alternatives, Accelerators & Startups

UseResponse VS Scikit-learn

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

UseResponse logo UseResponse

Open-source, self-hosted customer feedback software, live chat and helpdesk system that you can install on your server. Organize documentation using knowledge base and get feedback from social networks with centralized system

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • UseResponse Landing page
    Landing page //
    2023-10-10
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

UseResponse videos

Customer Feedback & Support Software UseResponse

Scikit-learn videos

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 UseResponse and Scikit-learn)
Customer Feedback
100 100%
0% 0
Data Science And Machine Learning
Help Desk
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using UseResponse 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 UseResponse and Scikit-learn

UseResponse Reviews

30+ Customer Feedback Tools comparison
Salesforce is a leading customer management tool that includes a subproduct IdeaExchange for collecting and prioritizing ideas with a roadmap. While UseResponse is a simpler CRM tool with feedback, helpdesk, knowledge base, and a live Chat.
Source: clearflask.com
30 Best Customer Feedback Survey Tools: An Overview | Mopinion
UseResponse is a less expensive version of GetSatisfaction. However, this customer feedback tool provides you with a version that you can host yourself using open sourced code. In addition to feedback and a forum, you also receive access to a live chat client.
Source: mopinion.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...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 29 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.

UseResponse mentions (0)

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

Scikit-learn mentions (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 15 days ago
  • 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 / 4 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 / about 1 year 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
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What are some alternatives?

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

UserVoice - UserVoice integrates easy-to-use feedback, helpdesk, and knowledge base management tools in one platform that empowers users to speak and companies to understand.

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

Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community

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

Zendesk - Zendesk is a beautiful, lightweight help-desk solution.

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