Mockuuups Studio is a super-easy mockup generator with over 4000 mockup scenes. The app is packed with everything you need to create product mockups, outstanding marketing materials, even visual content for social media or blog posts.
Instant Preview
Import a screenshot, and Mockuuups Studio takes care of the rest. The app automatically inserts & scales the design into hundreds of previews. Pick your favorite and export right away!
Custom Scenes with Studio
Pick a device, choose from diverse hands and mix with countless background combinations. Including transparent, colors, gradients, or stock photos.
Growing Library
More than 3500 high-quality scenes with various angles, different backgrounds, and device types are accessible from one place - no need to "google" and download mockups anymore.
Well-organized
Easily filter mockups based on your criteria. Are you looking for a scene with a transparent background and the latest version of the iPhone? No problem!
Based on our record, Scikit-learn should be more popular than Mockuuups Studio. 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.
If you mean the mockups I'm using as the thumbs for the projects, I bought a one month sub for https://mockuuups.studio/. Source: about 1 year ago
Https://mockuuups.studio/ I find this one to be better for mockups including people and setting. Source: over 1 year ago
The https://mockuuups.studio plugin on figma is awesome too. Source: about 2 years ago
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
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
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
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
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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