BundlePhobia VS Scikit-learn

BundlePhobia Reviews

Scikit-learn Reviews

BundlePhobia mentions (50)

• JavaScript Habits That Grind My Gears

  So, before adding a dependency to your projects, ask yourself if you truly need it and check how much a package weighs. If you would like to go through cleaning up process, I wrote an article on optimizing Next.js bundle size on my private blog. - Source: dev.to / 7 months ago

• 3 online tools to use for selecting a future-proof NPM library for frontend and Nodejs projects

  🔴 https://bundlephobia.com/ - estimate a footprint, basically how many Kb will be added to your bundle when you add this dependency to your project. Those may differ a lot, try comparing say - dayjs vs momentjs ;. - Source: dev.to / 8 months ago

• Tiptap vs remirror installation sizes

  I have phobia of dependencies and package sizes, so tiptap is 62KB and remirror is 150KB. Not much difference, since difference is no in MB's. Source: 8 months ago

• Add stepper components to your React app

  External packages increase your app bundle size (you can calculate this using BundlePhobia), so adding a third-party package for every development requirement isn’t always a good choice. Also, third-party packages may not completely fulfill your design requirements and may bring features that you don’t even use. Writing your own stepper component is also an option by including only the required features. - Source: dev.to / about 1 year ago

• Selecting the Right Dependencies: A Comprehensive Practical Guide

  For web projects, there is a great tool to determine package sizes: Bundlephobia. Of course, server-side rendering and tree shaking might reduce the size, but this needs to be always verified. - Source: dev.to / about 1 year ago

Scikit-learn mentions (27)

• 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 / 11 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: 12 months 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: 12 months 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

• Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service

  This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago