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Explorecams VS Scikit-learn

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

Explorecams logo Explorecams

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

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Explorecams Landing page
    Landing page //
    2021-08-02
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Explorecams 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 Explorecams and Scikit-learn)
Photos & Graphics
100 100%
0% 0
Data Science And Machine Learning
Graphic Design Software
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 should be more popular than Explorecams. 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.

Explorecams mentions (4)

  • Reddit users I need help!
    u/gastritissucks1992 put your lens into "explorecams.com" and see what images one can get out of it. You might be surprised. Source: about 1 year ago
  • Gathering DigiCam Resources (add yours)
    Explorecams.comis a fantastic resource for seeing lots of samples of camera output if you come across something for sale but are curious about the IQ. Source: over 1 year ago
  • [New Gear] Canon SL3 w/ Kit Lens + 55-250mm IS STM
    A tip would be to go to https://explorecams.com/ and search for your camera + lens and see what settings different photographers used to achieve x image. Other than that, just go outside and shoot :). Source: over 1 year ago
  • TTArtisan 11mm f2.8 lens opinions/ sample photos.
    Feel free to share some of sample photos for this lens via https://explorecams.com , this would be a tremendous help for the community. Source: over 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 / 19 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 Explorecams and Scikit-learn, you can also consider the following products

FreeFoodPhotos - freefoodphotos is a free stock photo library of food and beverage photography ready for download and use in web design and high resolution print

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

DxO ONE - DSLR image quality for your iPhone

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

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.

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