Based on our record, Scikit-learn should be more popular than DoIt. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I like mage for Go and doit for Python. Source: 5 months ago
An alternative to Scons could be Doit (), which if I remember correctly was built as a faster alternative to Scons. See also reasons of some users to prefer the later to other mentioned here: . - Source: Hacker News / 6 months ago
Or use https://pydoit.org and a virtualenv and be happy. - Source: Hacker News / 12 months ago
If you code in Python, your probably should use the language as much as possible and avoid calling shell commands. E.G: - manipulate the file system with pathlib - do hashes with hashlib - zip with zipfile - set error code with sys.exit - use os.environ for env vars - print to stderr with print(..., file=...) - sometimes you'll need to install lib. Like, if you want to manipulate a git repo, instead of calling the... - Source: Hacker News / about 1 year ago
I've been using Doit for a project which involves gathering together documents made up of multiple Markdown files and converting to multiple formats. It's really cool but has some irritations. It didn't end up being much simpler than Make for me. I'm interested in trying some of the alternatives people have posted. Source: over 1 year ago
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 / 2 months ago
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
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
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
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
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