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ePHOTOzine VS Scikit-learn

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

ePHOTOzine logo ePHOTOzine

Photography website with camera, lens and smartphone news, reviews, photography techniques, plus a photography gallery and forums, with photo competitions, blogs and buyers guides.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • ePHOTOzine Landing page
    Landing page //
    2023-05-27
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

ePHOTOzine videos

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Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

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  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to ePHOTOzine and Scikit-learn)
Media Management
100 100%
0% 0
Data Science And Machine Learning
Cloud Storage
100 100%
0% 0
Data Science Tools
0 0%
100% 100

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Reviews

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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.

ePHOTOzine mentions (0)

We have not tracked any mentions of ePHOTOzine yet. Tracking of ePHOTOzine recommendations started around May 2023.

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 / 22 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 ePHOTOzine and Scikit-learn, you can also consider the following products

Explorecams - Explorecams allows you to search through thousands of images that people taken on specific photo camera bodies & lenses.

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

CameraDecision - CameraDecision helps users to find a camera based on pros and cons, comparisons, and descriptions.

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

Photography PX - Photographypx, your one and only stop for latest camera gear reviews, tutorials, with industry leading photographers and courses to get you started right

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