Monero Reviews

Scikit-learn Reviews

Monero mentions (3)

• After "hacks" and withdrawal halts, prices on HTX and Poloniex are still decoupled from the rest of the market.

  A concrete show case: https://coinmarketcap.com/currencies/monero/ ("sort by volume"). Or see it here: https://i.imgur.com/XWe1SJ1.png. Source: 7 months ago

• A Deep Dive Into Tokenization

  A crypto coin is simply a digital coin, created for making payments. Coins are created to act like money: in other words, they represent a unit of account, store of value, and medium of transfer. Crypto coins tend to take the form of their native blockchain, like with Bitcoin (BTC), Bitcoin Cash (BCH), Litecoin (LTC) and Monero (XMR). Source: about 1 year ago

• Could anyone tell me the best step by step guide to mine monero on YouTube or any channel related on how we can build our mining rig to increase the mining efficiency. I have seen a lot of useless videos so iam asking this community for help. Thanks!

  I also recommend https://web.getmonero.org/ as well as https://xmrig.com/ regarding step by step configuration. Source: over 1 year ago

• [Daily Discussion] Saturday, August 20th

  Why is monero's 24 hour trading volume down 35.17% today? https://coinmarketcap.com/currencies/monero/. Source: almost 2 years ago

• Bitcoin Mining Company Sells 26,200 Rigs to Eliminate $67M Debts | It has retained 16,000 miners, and is currently selling over 100MW excess power generation.

  Monero has a market cap just shy of $3 billion as of this writing, that seems a bit more than "niche" to me. Source: almost 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