Scikit-learn Reviews

Tiny Tiny RSS 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

Tiny Tiny RSS mentions (42)

• Dark UX doesn't work in the long run

  I just want to vent here a bit: Feedly is the only app I ditched because I did not understand the interface. AT ALL. I tried multiple times, like really hard, over the course of 2-3 years, and all it delivered was a feeling of being insanely stupid. I started my attempts around 2012 (kind of around Google killing Reader). I could not understand if that app even deliver that same functionality as Reader, could not... - Source: Hacker News / 4 months ago

• Ask HN: How do you organize your life?

  Write things down! All the weird things and ideas, put them into categories and write them down. This categories can also have a to do list. Use some kind of calendar. Try to not read the news on the internet too much. Use a RSS reader. Notes: Simplenote https://simplenote.com/ I use it with nvpy on Linux https://pypi.org/project/nvpy/ Calendar: https://www.rainlendar.net/ Tiny Tiny RSS Reader for selfhosting:... - Source: Hacker News / 9 months ago

• Post Will Not Go Viral

  > I want to host my own RSS server though and then maybe use a native reader to view it, like an RSS of RSS feeds. I've been using Tiny Tiny RSS to do this for years. It works very well. https://tt-rss.org/. - Source: Hacker News / 10 months ago

• Unleashing the Potential of RSS; Harnessing Its Benefits for Everyday Learning

  Tiny Tiny RSS (TT-RSS) https://tt-rss.org/ is a self-hosted, open-source RSS feed reader that provides a lightweight and customizable solution for managing and reading RSS feeds. It offers a simple web-based interface, allowing users to aggregate, organize, and access their favorite content from various sources in one centralized location. With its extensibility and robust feature set, TT-RSS offers a powerful... - Source: dev.to / 12 months ago

• Reddit restored the last six months of my comments after I deleted them with shreddit. They also deleted everything older that I had saved.

  I would recommend Tiny Tiny RSS or FreshRSS as examples but you can use anything you want, there's plenty of them. Why would you want to pay for something like this? Source: about 1 year ago