Recharts Reviews

Scikit-learn Reviews

Recharts mentions (16)

• Ask HN: What's the best charting library for customer-facing dashboards?

  Chartjs looks great, but I've never used it so can't recommend personally. I've used https://recharts.org a lot with success. - Source: Hacker News / 2 months ago

• Complete Tutorial: React Admin Panel with refine and daisyUI

  We first build the dashboard page where we present stats for relevant KPIs in cards, charts and a table. We use the React-based Recharts library for plotting our data. - Source: dev.to / 8 months ago

• Climate Change Tracker

  For the charts a heavily customized version of recharts (https://recharts.org/) and for the globe threejs (https://threejs.org). - Source: Hacker News / 10 months ago

• Level Up Your Web App with Stunning React Charts: Introducing the Top 10 React Charts Libraries

  Recharts is another React charting library that simplifies creating charts by providing a wide range of chart components out of the box. It is built on top of D3.js but abstracts away the complexities, making it easier for React developers to create interactive and visually appealing charts and graphs. Recharts leverage the power of SVG (Scalable Vector Graphics) for rendering, allowing charts to be scalable and... - Source: dev.to / 11 months ago

• Build an EMI Calculator with Next.js, TypeScript, Tailwind CSS, Recoil and Recharts

  Recharts is a charting library that allows you to create attractive and informative data visualizations. - Source: dev.to / 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 / 16 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