As someone who's always on the lookout for the perfect productivity app, I was excited to try out Notion. It promises to be an all-in-one tool for everything from note-taking to project management to personal wikis.
From the moment you open Notion, you can tell that it's different from other productivity apps. The interface is sleek and modern, and it's easy to navigate. The app is divided into pages, which can be customized with different templates to fit your needs. You can create to-do lists, databases, wikis, calendars, and more.
One of the things I love about Notion is the ability to create relationships between pages. For example, you can create a database of your favorite books and then link to a page with your book reviews. Or you can create a to-do list and link to a page with notes about the task. This feature makes it easy to keep all of your information in one place and to connect related items.
Based on our record, Notion seems to be a lot more popular than Scikit-learn. While we know about 439 links to Notion, we've tracked only 28 mentions of Scikit-learn. 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.
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 / 3 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
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: over 1 year ago
Advanced Notion and Google Doc writing editor. - Source: dev.to / 11 days ago
I manage my non-work and work-adjacent tasks in Notion. Whenever I have an idea, regardless of how big or small or silly or achievable it is, I'll add it to Notion, and use labels to categorise it by type of output (e.g. blog, silly project, website update). Today I wanted to write a short post for my site. I clicked on the filtered blog post view, and selected this one (because I hoped it would be a quick one!). - Source: dev.to / 3 months ago
Notion.so redefines workspaces. With its intelligent organization and collaboration features, it's more than a productivity tool—it's a digital haven. Discover the art of streamlined and efficient teamwork. - Source: dev.to / 7 months ago
A quote as I could not directly send a discord screenshot and am not sure that people want to make an account at notion.so simply to see the FAQ:. Source: 9 months ago
I work on a large SPA: https://notion.so It’s a document editing application. A document title might occur in the browser’s titlebar, in the header of the main editor, in a “mention” (a link to the document), and in multiple places in the user’s sidebar - like in both their “Favorites” section and in the the contents of their team. When the user edits the document title, we need to update all those UI bits to... - Source: Hacker News / 9 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
OpenCV - OpenCV is the world's biggest computer vision library
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
NumPy - NumPy is the fundamental package for scientific computing with Python
Evernote - Bring your life's work together in one digital workspace. Evernote is the place to collect inspirational ideas, write meaningful words, and move your important projects forward.