Based on our record, FileCoin should be more popular than Scikit-learn. It has been mentiond 75 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.
For example, decentralized data storage projects like Filecoin, Arweave, and Sia posted 50-100% user growth, providing blockchain-powered alternatives to AWS, Google Cloud, and Dropbox for distributed app data security. - Source: dev.to / 4 months ago
Filecoin, which is based on IPFS, creates a market for unused storage. I think that idea is great but for adoption it needs to be as simple as Dropbox to store files. But visit [filecoin.io](https://filecoin.io/) and the dropbox-like app that you could be willing to try is nowhere to be found. So maybe it is an enterprise solution? That isn't spelled out either. So I am not surprised that this has little trackion... - Source: Hacker News / 4 months ago
Familiar DePIN initiatives include Helium, a Decentralized Wireless Network from 2019, Filecoin or Arweave for Cloud Storage. Source: 6 months ago
Filecoin is a data storage network backed by an application token. - Source: dev.to / 11 months ago
Filecoin - A decentralized storage network where miners earn Filecoin by providing storage to clients. Source: 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 / 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
IPFS - IPFS is the permanent web. A new peer-to-peer hypermedia protocol.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Sia - Sia - Decentralized data storage
OpenCV - OpenCV is the world's biggest computer vision library
Storj.io - Storj DCS is a decentralized, encrypted and fast Amazon S3-compatible object storage.
NumPy - NumPy is the fundamental package for scientific computing with Python