Scikit-learn Reviews

Geekbot 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

Geekbot mentions (13)

• Automating standups using GPT4 and Github APIs

  We think GitReport could replace standup apps like Geekbot. So we're making it into a product. More Git features are coming, like tracking issues and pull requests. Source: 9 months ago

• Agile / Scrum

  We run standups every day, however only 2x of them are a Teams call. The other 3 are run using a tool called Geekbot (Yes scrum masters do hate this) which is basically just a chatbot that sends you the standard standup questions and you can answer whenever you feel like it. This has helped our team heaps due to having such a huge mix of people in our team (Cloud Eng, Database Eng, Software Eng, Network Eng) that... Source: about 1 year ago

• What do you really think of your daily standup?

  My new job recently pulled in https://geekbot.com/ to handle stand ups. Answer a couple basic questions when you login, and they’re all sent to a central channel. I’m not big on that type of communication in general, but it takes maybe 30 seconds each morning. Source: over 1 year ago

• As an IC, is there anything I can do about super cheerful team members using up meetings time?

  We use Geekbot to help standups. The feedback from each dev goes into a channel, then we talk about things that need to be addressed or things we're working on. Source: over 1 year ago

• Scrum Has Failed the Developers

  Back in 2005, I remember working on startups running on Scrum principles. It worked well at the time, we where able to ship, grow the team, and move forward with a nice few-features-per-week cadence, working remotely, on a small team; less than 10. Tt always worked fine, but very slow, as all-dev-things were at the time. I worked with ActiveColab in 2007, Skype 2007, Yammer 2009, Trello 2011, Pivotal Tracker 2013,... - Source: Hacker News / over 1 year ago