Serializer.io Reviews

Scikit-learn Reviews

Serializer.io mentions (5)

• The way I limit my social media consumption

  Two things that changed my life: (1) https://serializer.io/ to read HN. It shows the top list in a way that lets you mark all as read. If I check it too often, it just shows all posts as read because they are. Simple and brilliant. (2) iOS Automation Shortcut starts a 9 minute timer when I open twitter or Instagram. The automation system also puts up a toast popup telling me about the timer. The popup alone helps... - Source: Hacker News / 9 months ago

• I don't want to go back to social media

  > On HN, the filtering is done by others (mostly: you can filter by “Show HN”, “Ask HN”, new, etc.) That's why I read HN via Serializer (disabled all other websites), because I don't really wanna curated HN homepage from certain brigades and I wanna choose what I read and what _I_ find interesting. You can also get your individual URL to share across devices, which I find very useful. https://serializer.io/. - Source: Hacker News / over 1 year ago

• Cancel This App Update, Dammit!

  My morning routine hasn't changed over the years. I'll scan serializer.io, get the kids ready, work out, eat breakfast, shower, and flip open the work notebook. Then I'll be a few goddamned minutes late to the first team meeting of the day. - Source: dev.to / almost 2 years ago

• Tell HN: Thank You for the Noprocrast Flag

  If you're a fan of the noprocrast flag, I'll also recommend reading HN through https://serializer.io/ which shows you only what's new on the top list since you last visited. It lets you "clear" HN much faster and helps you avoid burning another 20 minutes reading threads you've already read. I'm not affiliated with serializer but it's totally changed my life. - Source: Hacker News / over 2 years ago

• Are there any more interesting subreddits like ExperienceDevs?

  Have so far found a good aggregator for HackerNews, Reddit, Lobste, MacRumors and Ars Technica. Source: 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 / 7 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