Based on our record, Raindrop.io should be more popular than Scikit-learn. It has been mentiond 188 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 personally use Raindrop.io [0]. I have used it for more than 3 years and it does it's job very well. [0] http://raindrop.io/. - Source: Hacker News / about 1 month ago
I have been using https://raindrop.io/ for this and find it quite useful. Never end up reading everything I save but it keeps my browser less chaotic and adding bookmarks from the browser extension and on iOS is quite seemless. - Source: Hacker News / 5 months ago
You might be thinking of https://raindrop.io which is developed by a Kazakh developer? - Source: Hacker News / 6 months ago
I use Raindrop[0] for all bookmarks and have flirted with Omnivore and Wallabag over the years. But I always come back to just using Raindrop and "Unsorted" for my read-it-laters. I've got a feed into Reeder from here which works well too. At the end of the day a likely next step after reading something is to want to bookmark it so this workflow works well for me. [0] https://raindrop.io/. - Source: Hacker News / 7 months ago
There are plenty of good alternatives nowadays: - https://raindrop.io/: Also a one-man show, but probably the best bookmarking tool out there. - https://omnivore.app: Open source and support for newsletters. For my use case though (I like to curate and share), I ended up building an app (https://fika.bar) to bundle bookmarking + RSS Reader + Blogging. - Source: Hacker News / 9 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
Pocket - When you find something you want to view later, put it in Pocket.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Pinboard - Pinboard is a personal archive for things you find online and don't want to forget.
OpenCV - OpenCV is the world's biggest computer vision library
Diigo - Diigo is a powerful research tool and a knowledge-sharing community
NumPy - NumPy is the fundamental package for scientific computing with Python