Based on our record, Ghost should be more popular than Scikit-learn. It has been mentiond 189 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.
Ghost is a leading open-source publishing platform designed for modern creators, journalists, and businesses. Founded in 2013 as a non-profit organization, Ghost has grown to become a powerful alternative to traditional blogging platforms, with over 49,000 GitHub stars and a thriving ecosystem of themes and integrations. The platform focuses on providing beautiful, fast, and professional publishing tools, enabling... - Source: dev.to / 15 days ago
I run the blog at Developer-Service.blog with a self-hosted Ghost instance. - Source: dev.to / about 1 month ago
Modern publishing tools like Ghost accommodate sleek content presentation. - Source: dev.to / 3 months ago
Ghost: This open source blogging platform, available at Ghost, was kickstarted by a simple yet powerful idea—empowering writers with an elegant, customizable tool. The project’s MIT licensing has fostered a thriving community that collaborates to push the platform forward. Ghost’s journey demonstrates that when developers and users work together, innovation thrives. - Source: dev.to / 3 months ago
The other big option is to post blogs or notes. It's pretty simple to start a blog right here on Dev.to, or on Hashnode, two blogging platforms specifically for coding. There's also a great community platform on Codedex.io where you can write blog posts, although you do need to complete a few lessons to "unlock" the community features. In these cases, there's already an audience and community on the site, so it's... - Source: dev.to / 4 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 6 months ago
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 / 12 months 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 / over 1 year 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 / almost 2 years ago
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