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Scikit-learn VS Spry Simulation

Compare Scikit-learn VS Spry Simulation and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Scikit-learn logo Scikit-learn

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

Spry Simulation logo Spry Simulation

Microsoft Excel add-in which enables system dynamics, discrete-event and Monte Carlo simulation in modern spreadsheets, especially with small to medium-sized simulation models and for a proof-of-concept tasks.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Spry Simulation Landing page
    Landing page //
    2023-01-06

Scikit-learn features and specs

No features have been listed yet.

Spry Simulation features and specs

  • System dynamics: Yes
  • Discrete events modeling: Yes
  • Monte Carlo simulation: Yes
  • Simulation elements as spreadsheet functions: Yes
  • Charts: Yes
  • Optimization: Yes

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.

Spry Simulation videos

No Spry Simulation videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Scikit-learn and Spry Simulation)

Scikit-learn

Spry Simulation

Data Science And Machine Learning
99 99%
Data Science And Machine Learning
1% 1
Simulation
0 0%
Simulation
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Simulation Modeling
0 0%
Simulation Modeling
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 Scikit-learn and Spry Simulation

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

Spry Simulation Reviews

We have no reviews of Spry Simulation yet.
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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.

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: about 1 year ago
View more

Spry Simulation mentions (0)

We have not tracked any mentions of Spry Simulation yet. Tracking of Spry Simulation recommendations started around Jan 2023.

What are some alternatives?

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

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

GoldSim - GoldSim is the premier Monte Carlo simulation software solution for dynamically modeling complex systems in business, engineering and science.

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

AnyLogic - AnyLogic has changed simulation modeling and expanded its application into complex business environments. The unmatched flexibility of multimethod modeling allows users to capture the complexity of virtually any system, at any level of detail.

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

Netron - Open-source visualizer for neural network, deep learning and machine learning models.

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