Based on our record, Scikit-learn should be more popular than Buildbot. 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.
Buildbot is a versatile CI framework designed to automate all aspects of the software development cycle, enhancing efficiency and reliability. As an open-source platform, it is highly customizable, allowing teams to tailor the automation process to their specific needs. Buildbot excels in integrating various stages of development, from code integration, testing, to deployment, ensuring a seamless and coherent... - Source: dev.to / 4 months ago
If you want more than the builtin CIs in Github and Gitlab, https://buildbot.net is the way. Source: about 1 year ago
If you don't have one already integrated with your source control, buildbot is pretty nice and doesn't force you to use docker like most others. Source: over 1 year ago
Https://buildbot.net/ existed before Jenkins Hudson and was quite well known. Source: over 1 year ago
I have used python based CI tool buildbot which is a great tool but we want to move away from buildbot only because in some scenarios we want to compile low-level microseconds which are in c++ to a different architecture. Buildbot doesn't have such a feature. - Source: dev.to / almost 2 years 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
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.
OpenCV - OpenCV is the world's biggest computer vision library
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
NumPy - NumPy is the fundamental package for scientific computing with Python