Grist Reviews

Scikit-learn Reviews

Grist mentions (9)

• Ask HN: Who is hiring? (March 2024)

  Grist Labs | Systems Engineer | Full-time | NYC OR REMOTE +/- 3hrs | https://getgrist.com We're looking for someone to make our modern spreadsheet software run everywhere. To apply, there's a puzzle. Just do:. - Source: Hacker News / 4 months ago

• Ask HN: What are Airtable alternatives with higher rate limits?

  [Baserow], [APITable], [Grist], and [Rowy] are all open source Airtable alternatives which offer hosted SaaS versions that include API access, though it's a bit difficult to compare the API rate limits across all these products. Self-hosting an app like this would allow you to bypass API rate limits altogether, if you're open to it. All the above products can be self-hosted — and you might want to look at [NocoDB]... - Source: Hacker News / about 1 year ago

• Retool Database

  There's also Grist (https://getgrist.com) - SQLite based with Excel-like formulae in Python. - Source: Hacker News / over 1 year ago

• Self-hosted platform for easy access to statistical data

  The only things I have found are Baserow which is basically the best one I've found so far, but it doesn't allow search between columns, importing columns from other tables and I can't restrict users from editing and perhaps corrupting the data. NocoDB doesn't import CSVs and seems to be buggy for some reason. Grist allows restriction for people but it does not have as good filters as Baserow and I can't save my... Source: about 2 years ago

• Check out Grist, a modern and open spreadsheet-database

  Phenomenal capabilities exceed Excel, Google Sheets, Airtable. Allows app-like views on spreadsheet data, with drag-n-drop configuration. Supports Python-based formulas with familiar Excel functions. Access rules allow sharing a single row or any subset of data. Open-source, and can be self-hosted. https://getgrist.com. Source: about 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 / 15 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