Based on our record, BitBucket should be more popular than Scikit-learn. It has been mentiond 74 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.
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 / 21 days 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 / 4 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 / about 1 year 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: about 1 year 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
Tools: Use platforms like Bitbucket or GitHub’s pull request feature. - Source: dev.to / 15 days ago
We must be careful that the value, worth, and success of open-source projects are not measured by vanity metrics such as stars on GitHub or attempts at gaming the GitHub trending algorithm. For one thing, not all open source worth investment happens on GitHub, there are also platforms such as GitLab, Codeberg, and BitBucket where a lot of great work is being done. Some people also overblow the success of a... - Source: dev.to / 3 months ago
Bitbucket — Unlimited public and private Git repos for up to 5 users with Pipelines for CI/CD. - Source: dev.to / 5 months ago
Atlassian Tweaks is a collection of userscripts and userstyles, developed by myself and my colleagues, which tweak some things and reduce friction in our Jira, Bitbucket, and Confluence workflows at our $DAYJOB. These scripts and styles were originally written for the self-hosted versions of the Atlassian services. However, most of scripts and styles support the Cloud versions as well. Screenshots, descriptions,... - Source: Hacker News / 6 months ago
The "space" that we have been referring to, can be any of the following: GitHub, GitLab, BitBucket, and many more. For this blog, we will stick to GitHub, since that's more beginner-friendly. - Source: dev.to / 6 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
OpenCV - OpenCV is the world's biggest computer vision library
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
NumPy - NumPy is the fundamental package for scientific computing with Python
Gitea - A painless self-hosted Git service