Process Street Reviews

Scikit-learn Reviews

Process Street mentions (7)

• Workflow / Taskflow / Process Tool

  The only thing I found is process.st but it’s a paid service. Source: about 1 year ago

• Advice on finding co-founders through programs like Entrepreneur First.

  So far I am working on the idea of workflow saas app, something like notion + process.st, but much simpler to use. I haven't done any wireframes or design yet. I am just at initial stage of exploring this area. Source: about 1 year ago

• Task manager with task templates

  I'm using process street. It can trigger different workflows using links + having a conditional workflow. Source: over 1 year ago

• Is our work productivity app too complex?

  I took a look at process.st, it's more oriented towards office workers, whereas we're targeting in-the-field activities (take a photo, send an SMS, etc.). Source: almost 2 years ago

• Ask HN: What kind of online tools are you using, missing or can be improved?

  > I want that temporally and semantically linked set of activities to appear on a timeline with links to and from the various tools I use Sounds like what you want is a repeatable, digital workflow. Using workflow software like Process Street (https://process.st) you can build that documentation as part of performing the work itself. You could capture, say, the AWS policies you create and the ARNs they’re... - 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 / 3 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 / 3 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