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I followed a few different guides, tried different versions of firmware (From the miwifi.com page, from the miuirom.org page, Chinese 2.18.28, Chinese 2.18.51, the one that comes with the hoddy guide, even the gigabit edition versions (global and Chinese) and the openwrt software and some others I can't remember) and nothing works. I can get the firmware onto the router (with either BootP + TFTpd or the... Source: about 2 years ago
Oh Try opening http://miwifi.com/ Http without s. Source: about 3 years 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 / 16 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
Helium Hotspot - Powering the world's first peer-to-peer wireless network
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Velop - Whole-home mesh Wi-Fi by Linksys
OpenCV - OpenCV is the world's biggest computer vision library
AirPort Extreme - AirPort Extreme is a straightforward router that's great for users who don't need any additional customization options.
NumPy - NumPy is the fundamental package for scientific computing with Python