Based on our record, Home-Assistant.io should be more popular than Scikit-learn. It has been mentiond 67 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.
* Home Assistant (https://home-assistant.io/) - with USB passthrough of USB stick to read out my digital electricity/gas meters, Zigbee and Z-Wave. - Source: Hacker News / 29 days ago
HA is Home Assistant. You should check it out. Mushroom is an add on to HA’s interface that adds sone different style “cards” than what it comes with. Source: 11 months ago
Yes, there's Home Assistant that can work completely off-line. You can find multitude tutorials on youtube on how to set it up, even using cheap solutions like Raspberry PI. Source: about 1 year ago
I'm going to suggest- you ever heard of Home Assistant? It's a really useful home automation tool you could integrate with weather and clock on a dashboard. As well, you could use it to control smart devices. Source: about 1 year ago
As for the "what is playing" detection on my google minis. This is done with "https://home-assistant.io/". Source: over 1 year 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 / 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 / 12 months 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
openHAB - "empowering the smart home" - vendor and technology agnostic open source home automation
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Google Home - Set up, manage, and control your Chromecast, Chromecast Audio and Google Home devices.
OpenCV - OpenCV is the world's biggest computer vision library
ioBroker - flexible and modular application for the IoT and Smarthome
NumPy - NumPy is the fundamental package for scientific computing with Python