Based on our record, ShareX should be more popular than Scikit-learn. It has been mentiond 273 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.
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 / 5 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 / about 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
I made sure to document every step of the way via screenshots to ensure I could test enabling and disabling certain features. The screenshot tool I use on Windows is called, ShareX, and I find it extremely useful with regards to pointing out certain elements in an image. - Source: dev.to / 8 months ago
I've been using ShareX (https://getsharex.com/) for some years, which is also open-source, and very featureful while not feeling too bloated, though Windows only. I'll have to have a look at this next time I'm on a Linux desktop, as I found the options lacking compared to ShareX last time I looked. - Source: Hacker News / 12 months ago
ShareX (https://getsharex.com/) doesn't have quite this nice UX but it's free. I often use it alongside browser dev tools. Here's a screenshot of me measuring this comment box https://i.imgur.com/yoTHbzq.png. - Source: Hacker News / about 1 year ago
ShareX will run on that machine no problem. Open-source & free. Https://i.imgur.com/KQAoDin.jpg. Source: over 1 year ago
ShareX [1] is my other "must install" app. I never would have guessed how much my branch of engineering consists of "take a screenshot and draw lines, arrows and circles on it." Being able to customize my workflow to do all of that is really great. [1] https://getsharex.com/. - Source: Hacker News / almost 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Greenshot - Greenshot is a free and open source screenshot tool that allows annotation and highlighting using the built-in image editor.
OpenCV - OpenCV is the world's biggest computer vision library
LightShot - The fastest way to take a customizable screenshot.
NumPy - NumPy is the fundamental package for scientific computing with Python
Snagit - Screen Capture Software for Windows and Mac