Based on our record, Scikit-learn should be more popular than Okta. It has been mentiond 28 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.
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
The majority of the codebases I've worked on over the years have always favoured using JSON web-tokens (JWT) or Authentication-as-a-Service platforms (Auth0, Okta etc) for authentication logic. These are indeed excellent choices! however, on smaller projects I find these to always seem to be overkill. Recently I started working on a chrome extension that performs social sign-in using twitter OAuth API and... - Source: dev.to / over 1 year ago
This happened to me three days ago! A new employee had trouble logging into our intranet, which is at OurCompanyName.okta.com. He was going to okta.com. Source: over 1 year ago
Maybe go to okta.com , they have some cool solutions, might give you some ideas. Source: over 2 years ago
Okta.com is being used by gamestop to power the login to the creator platform. their favicon is a dark blue circle. Source: over 2 years ago
The email field is used for domains which have set up Okta, Onelogin, or other specialized identity providers. The login page has to redirect you not just to a single okta.com/onelogin.com/etc authenticator as it does with Google/Microsoft/GitHub, but to the specific OAuth endpoint set up for the specific domain. So it needs to know what domain you're trying to authenticate against so it can redirect you to the... Source: over 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Auth0 - Auth0 is a program for people to get authentication and authorization services for their own business use.
OpenCV - OpenCV is the world's biggest computer vision library
OneLogin - On-demand SSO, directory integration, user provisioning and more
NumPy - NumPy is the fundamental package for scientific computing with Python
Microsoft Azure Active Directory - Azure Active Directory is a comprehensive identity and access management cloud solution that provides a robust set of capabilities to manage users and groups and help secure access to applications including Microsoft online services like Office 365 …