Scikit-learn Reviews

C3.js Reviews

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 / 13 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

C3.js mentions (11)

• Tracking Real-time GitHub Dashboard Commits

  The dashboard is a mashup of GitHub, the PubNub Data Stream Network, and D3 chart visualizations powered by C3.js. When a commit is pushed to GitHub, the commit metadata is posted to a small Heroku instance which publishes it to the PubNub network. We’re hosting on dashboard page on GitHub pages. - Source: dev.to / 28 days ago

• Graph libraries

  I've been using https://c3js.org/ forever with vue. Works with v3 just fine. However, I'm very interested to see what others are using. Source: about 2 years ago

• Teclis – Non-commercial web search

  Yes! I found https://c3js.org/ which is exactly what I want for my personal project. - Source: Hacker News / over 2 years ago

• [OC] I spent the last 18 months of lockdown pouring my soul into a website that allows you to visualize virtually every U.S. company's international supply chain. E.g. What products, how much, which factories and where does Walmart import from? (Just type a company in the search box)

  C3.js is actually something that I like to use on top of D3, specifically for POC's and things like that. It wraps the D3 code in something a little more semantic, provides an API for updating the chart/data, and makes the UI easier to style after the chart is generated. Purely a preference thing, but might be useful in some cases. Source: over 2 years ago

• [C3.js][TypeScript] Draw line charts 1

  C3.js | D3-based reusable chart library. - Source: dev.to / over 2 years ago