Communifire VS Scikit-learn

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

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Communifire

Enterprise Social Collaboration Software

Scikit-learn

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

Landing page //
2023-07-17

Communifire is an Enterprise Social Collaboration platform, a more effective alternative to email and traditional intranets and a great way to reduce time spent in meetings. Empower employees to share ideas and collaborate on content while still retaining control over who can do and see what. Bring partners and customers in and limit them to just what they need to see to work closely with you. Everything a group needs is in one place with updates on all your groups coming to you in one place.

Landing page //
2022-05-06

Communifire Demo - High Level Tour

Scikit-learn videos

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Learning Scikit-Learn (AI Adventures)

Category Popularity

0-100% (relative to Communifire and Scikit-learn)

Communifire

Scikit-learn

Project Management

100 100%

Project Management

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

Communication

100 100%

Communication

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

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

Reviews

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

Communifire Reviews

Kick Your SharePoint Addiction with 12 Powerful Alternatives

Communifire’s pricing starts at $10 per user per month, but only for groups between 15 and 100 users. Customers are required to have at least 15 users to set up Communifire. If you have more than 100, you’ll have to get in touch for a custom quote.

Source: blog.continu.co

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 a lot more popular than Communifire. While we know about 29 links to Scikit-learn, we've tracked only 1 mention of Communifire. 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.

Communifire mentions (1)

What intranet solution would you use if you can build it from scratch?
Check out http://axerosolutions.com/ they offer an on-premise option. Source: about 1 year ago

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 / 20 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