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Compare Weka and machine-learning in Python 
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At a Glance
Market Segments
Enterprise (76.9% of reviews)
Enterprise (40.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Weka
Star Rating
(13)4.3 out of 5
Market Segments
Enterprise (76.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Wekamachine-learning in Python
Star Rating
(35)4.7 out of 5
Market Segments
Enterprise (40.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about machine-learning in PythonSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Reviewers mention that Weka's user interface is intuitive, making it easier for beginners to navigate, while users report that machine-learning in Python offers more flexibility for advanced users who prefer coding their models.
- Users say that Weka excels in providing a wide range of built-in algorithms, which simplifies the process of model selection, whereas G2 users highlight that machine-learning in Python allows for custom algorithm implementation, catering to specific project needs.
- Reviewers mention that Weka's data preprocessing capabilities are robust, with features like the "Preprocess" tab, which streamlines data cleaning, while users on G2 report that machine-learning in Python requires more manual coding for data preprocessing, which can be time-consuming.
- Users report that Weka's visualization tools, such as the "Explorer" interface, help in easily interpreting results, while reviewers mention that machine-learning in Python relies on external libraries like Matplotlib for visualization, which may require additional setup.
- G2 users highlight that Weka's support quality is rated lower compared to machine-learning in Python, where users report better community support and extensive documentation available for troubleshooting and learning.
- Users say that Weka is particularly strong in educational settings due to its ease of use and quick setup, while reviewers mention that machine-learning in Python is favored in enterprise environments for its scalability and integration capabilities with other systems.
Pricing
Entry-Level Pricing
Weka
No pricing availablemachine-learning in Python
No pricing availableFree Trial
Weka
No trial information availablemachine-learning in Python
No trial information availableRatings
Meets Requirements
8.9
12
9.0
26
Ease of Use
8.2
12
9.0
29
Ease of Setup
8.8
11
8.8
20
Ease of Admin
9.0
10
9.0
17
Quality of Support
7.9
8
8.4
26
Has the product been a good partner in doing business?
8.1
9
8.9
16
Product Direction (% positive)
7.1
12
10.0
24
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
Weka and machine-learning in Python are categorized as Machine Learning
Unique Categories
Weka has no unique categories
machine-learning in Python has no unique categories
Reviews
Reviewers' Company Size
Weka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
machine-learning in Python
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
Higher Education
30.8%
Information Technology and Services
15.4%
Research
7.7%
Real Estate
7.7%
Management Consulting
7.7%
Other
30.8%
Computer Software
25.0%
Information Technology and Services
15.6%
Research
12.5%
Higher Education
6.3%
Telecommunications
3.1%
Other
37.5%
Discussions
Weka has no discussions with answers
Which Python version is best for machine learning?
2 Comments
SM
3.7 or later version is best to use this language.Read more
What is Python with machine learning?
1 Comment
SD
Firstly python is just a way to get machine learning things get done not inter related to machine learning. But using python in machine learning will help...Read more
machine-learning in Python has no more discussions with answers
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