HoDoKu VS Scikit-learn

HoDoKu Reviews

Scikit-learn Reviews

HoDoKu mentions (14)

• sudoku gives me brain damage

  Strmckr already gave you good advice on the order in which you can learn more advanced techniques. Some apps offer a practice mode in which you are given a specific grid that definitely needs that technique that you are trying to practice. One of those is my website sudoku.coach. The other one I know of is the windows software hodoku. Source: 10 months ago

• Just had a lot of fun solving this puzzle generated by Hodoku

  On a Windows PC, Hodoku lets you input your own puzzle. You can just Copy and Paste this into the software:. Source: 11 months ago

• Is there any site similar to how chess puzzles work?

  Don't know about any sites but you can learn specific techniques in hodoku. Source: 11 months ago

• How should I proceed?

  If I'm solving in Hodoku it's easy enough to switch to full notation (Options | Show All Candidates | click "no"), but my usual pencil/pen/eraser on paper takes slightly more effort. Source: about 1 year ago

• Sudoku books

  Download/install Hodoku (Free, as in 'beer'; will run on Mac/Windows/Linux - it's a Java .jar file (also available as a Windows executable file). Source: about 1 year ago

Scikit-learn mentions (27)

• 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 / 11 months 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: 12 months 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: 12 months ago

• Help on using R for Machine Learning?

  Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago

• Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service

  This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago