Based on our record, fzf should be more popular than Scikit-learn. It has been mentiond 218 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.
Very often when you start customizing your Vim or Neovim, you install a plugin allowing you to display the tree structure in your editor. It's nice, it allows you to have a view of the structure, but moving from one file to another is slow. So, very quickly, we turn to Fuzzy-finder. And there, generally, we come back to life and we no longer want to leave our publisher. - Source: dev.to / 13 days ago
Fzf plugs into almost every alias I have including shell history, which allows me to operate in the CLI using 1-5 keystrokes instead of typing out extremely long commands. Here's a good tutorial of using FZF. - Source: dev.to / 19 days ago
If you want to integrate fzf with rg, fd, bat to fuzzy find files, directories or ripgrep the content of a file and preview using bat, but the fzf document only has commands for Linux shell (bash,...), and you want to achieve that on your Windows Machine using Powershell, this post may be for you. - Source: dev.to / about 1 month ago
I have removed limit for bash history lines and file size and am using https://github.com/junegunn/fzf for reverse-search. - Source: Hacker News / 2 months ago
Those are the most used aliases in my gitconfig. "git fza" shows a list of modified/new files in an fzf window, and you can select each file with tab plus arrow keys. When you hit enter, those files are fed into "git add". Needs fzf: https://github.com/junegunn/fzf. - Source: Hacker News / 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 / 22 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
fd - A simple, fast and user-friendly alternative to 'find'.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Bat - A cat(1) clone with wings.
OpenCV - OpenCV is the world's biggest computer vision library
fzy - A better fuzzy finder
NumPy - NumPy is the fundamental package for scientific computing with Python