YouTube Music Reviews

Scikit-learn Reviews

YouTube Music mentions (176)

• Is there a place to suggest software you'd like to be on the AUR? If not, let it be here!

  I've moved on to Ferdium by the way via the ferdium-electron AUR package. I also use Tuta, Skiff, Google Messages and YouTube Music with it. Source: 7 months ago

• YouTube Premium is finally available in Georgia

  What about youtube music? I'm not in the country rn. Does the it work? Https://music.youtube.com/. Source: 7 months ago

• Custom query in address bar to open a specific website

  I want to type "ytm" and get "music.youtube.com" opened by pressing enter. Source: 8 months ago

• Does anyone have any detailed instructions on how to use, Spotdl? I absolutely cannot figure out how it works.

  Get cookies.txt for https://music.youtube.com. You can use Get cookies.txt extension or cookies.txt for this. More info here. Source: 9 months ago

• On Podcasts, Google Podcasts, and YouTube Music

  In reaction to the recent news that Google plan to shut down Google Podcasts and roll it into YouTube Music, I made a couple of comments on the announcement. I realized that I should probably share them here as well. Any further thoughts will be shared in separate posts. Source: 9 months 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 / 16 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