Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
Feedly
Inoreader
Tiny Tiny RSS
NewsBlur
Flipboard
Reeder
The Old Reader
FreshRSS
Scikit-learn FeedlyScikit-learn might be a bit more popular than Feedly. We know about 29 links to it since March 2021 and only 21 links to Feedly. 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.
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 / 13 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
Some people enjoy sharing their knowledge on technical areas, blogs remain accessible and effective media. Feedly or Inoreader will allow you to follow the RSS feeds of these websites and consult them at your leisure, so you can follow the specific areas that interest you. - Source: dev.to / 27 days ago
Maybe not a perfect replacement, but have you tried Feedly? https://feedly.com/. - Source: Hacker News / 5 months ago
Pretty sure Feedly is the most popular news aggregator these days. I've been using it for years, and it is great. https://feedly.com/. - Source: Hacker News / 10 months ago
Https://feedly.com/ might fit the bill. - Source: Hacker News / 10 months ago
There is an amazing alternative with far more features and thoughtfully designed in https://feedly.com/. - Source: Hacker News / 12 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Inoreader - Dive into your favorite content. The content reader for power users who want to save time.
OpenCV - OpenCV is the world's biggest computer vision library
Tiny Tiny RSS - Web-based news feed aggregator, designed to allow you to read news from any location, while feeling...
NumPy - NumPy is the fundamental package for scientific computing with Python
NewsBlur - NewsBlur is a personal news reader that brings people together to talk about the world.