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Compare Xilinx Machine Learning and scikit-learn 
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At a Glance
Market Segments
Enterprise (46.2% of reviews)
Enterprise (40.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Xilinx Machine Learning
Star Rating
(13)4.4 out of 5
Market Segments
Enterprise (46.2% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Xilinx Machine Learningscikit-learn
Star Rating
(59)4.8 out of 5
Market Segments
Enterprise (40.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about scikit-learnSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that scikit-learn excels in ease of use, with a score of 9.6, making it highly accessible for beginners and experienced data scientists alike. In contrast, Xilinx Machine Learning has a lower ease of use rating of 8.7, which some users find challenging when starting out.
- Reviewers mention that scikit-learn's integration capabilities are robust, allowing seamless connections with various data sources and tools, which enhances its versatility in machine learning projects. On the other hand, users on G2 note that Xilinx Machine Learning's integration options are more limited, which can hinder workflow efficiency.
- G2 users highlight that scikit-learn provides a wide range of algorithms, making it suitable for diverse machine learning tasks. Users appreciate features like the "GridSearchCV" for hyperparameter tuning, which is not as prominently featured in Xilinx Machine Learning, where algorithm variety is perceived as more constrained.
- Reviewers say that scikit-learn's training data handling is user-friendly, with clear documentation and examples that facilitate the learning process. Conversely, users report that Xilinx Machine Learning's training data management can be less intuitive, leading to a steeper learning curve.
- Users mention that scikit-learn offers actionable insights through its comprehensive evaluation metrics, which help in assessing model performance effectively. In contrast, Xilinx Machine Learning's insights are seen as less detailed, which may limit users' ability to fine-tune their models.
- Reviewers highlight that scikit-learn has a strong community support system, contributing to its high quality of support rating of 9.4. In comparison, Xilinx Machine Learning's support is rated lower at 8.3, with some users expressing concerns about response times and resource availability.
Pricing
Entry-Level Pricing
Xilinx Machine Learning
No pricing availablescikit-learn
No pricing availableFree Trial
Xilinx Machine Learning
No trial information availablescikit-learn
No trial information availableRatings
Meets Requirements
8.9
9
9.6
52
Ease of Use
8.7
9
9.6
52
Ease of Setup
Not enough data
9.6
40
Ease of Admin
Not enough data
9.4
39
Quality of Support
8.3
9
9.4
48
Has the product been a good partner in doing business?
Not enough data
9.2
35
Product Direction (% positive)
8.7
9
9.3
52
Features by Category
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Xilinx Machine Learning and scikit-learn are categorized as Machine Learning
Unique Categories
Xilinx Machine Learning has no unique categories
scikit-learn has no unique categories
Reviews
Reviewers' Company Size
Xilinx Machine Learning
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
scikit-learn
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
23.1%
Semiconductors
15.4%
Marketing and Advertising
15.4%
Higher Education
15.4%
Education Management
15.4%
Other
15.4%
Computer Software
35.6%
Information Technology and Services
16.9%
Higher Education
10.2%
Computer & Network Security
6.8%
Hospital & Health Care
5.1%
Other
25.4%
Alternatives
Discussions
Xilinx Machine Learning has no discussions with answers
What is scikit-learn used for?
2 Comments
MS
Scikit-learn is a powerful library, well-integrated with other Python libraries such as pandas, NumPy, Matplotlib, and Seaborn. It supports creating machine...Read more
What is Python Scikit learn?
1 Comment
RA
It is a library used to implement machine-learning models. Provides vast range of methods to perform data preprocessing, feature selection, and popularly...Read more
scikit-learn has no more discussions with answers
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