hotglue Reviews

Scikit-learn Reviews

hotglue mentions (11)

• Need suggestions on which tool to use (OAuth/ETL)

  Hi u/CoolFounder! I think hotglue (https://hotglue.xyz) could fit your use case super well - I would be happy to chat about it. Source: over 2 years ago

• How to use Supabase and hotglue to offer a native integration in your product

  If you would like to check out the easiest way to offer your users native integrations inside of your product, you can check out hotglue’s site here. - Source: dev.to / over 2 years ago

• My dad’s business was struggling with late payments, so I built an app that helps small businesses resolve this issue. It’s like a B2B Venmo, with immediate payment options - sellers can get paid out immediately for invoices (no debt) and buyers can pay bills in installments. Looking for feedback.

  Hey jumping in here as someone who works at a company that helps people building products offer integrations to their users (hotglue). Wanted to ask why you thought of building the integration yourself instead of using a tool to do it? Source: over 2 years ago

• Show HN: We made a web app that lets you connect your analytics apps

  I’m a little biased here as one of the co-founders, but hotglue is meant to help companies like yours get data in from your customers! Feel free to give us a look at https://hotglue.xyz - happy to answer any questions you have about integrations in general as well. - Source: Hacker News / over 2 years ago

• AirByte Cloud: Unify your data pipelines

  I haven’t experienced using AirByte yet but based on the use case I believe you’re mentioning (user-facing integrations in your product), I think hotglue (https://hotglue.xyz) may be a good fit. Disclaimer: I am one of the founders but thought I’d jump in here in case you hadn’t heard about us yet! - Source: Hacker News / over 2 years 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