Scikit-learn might be a bit more popular than Studius.ai. We know about 28 links to it since March 2021 and only 20 links to Studius.ai. 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.
Hey u/apixeldiva, I built https://studius.ai/ with a friend because we couldn't keep using Quizlet. We now have dozens of schools/teachers using our tool to help their students study. Our Learn mode includes spaced repetition and it's free. You can also easily import your Quizlet deck into Studius. Feel free to PM me if you need any help signing up! Source: over 1 year ago
Co-creator of https://studius.ai/ here, so obviously I'm biased but give Studius a try! I was a long-time Quizlet user before building this alternative. Feel free to PM me for any help. Source: over 1 year ago
I am disappointed at the fact Quizlet now makes its users pay to use their learn feature which is something I loved about the app. I have been going around to find better alternatives with a similar feature, that is where I ran into studius.ai but there is also a paywall to use the test feature. I also tried Outlearn but does not have a test feature same with Knowt. Are there any good alternatives to these apps... Source: over 1 year ago
I'm one of the co-creators of https://studius.ai/. We've got a powerful image annotation feature https://studius.ai/features/image-occlusion that Medical students love – feel free to PM me if you need help signing up! Source: over 1 year ago
Give https://studius.ai/ a try! I've been working on it with a friend. The Test mode is Premium only ($4 a month), but if you bring 10 friends we'll give you and your friends free access for a year. Feel free to PM me! 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
Anki - Anki is a program which makes remembering things easy. Because it's a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Quizlet - Quizlet allows you to review and create flashcards for a variety of subjects, such as math and reading.
OpenCV - OpenCV is the world's biggest computer vision library
Machine Learning Flashcards - 300 digital flashcards
NumPy - NumPy is the fundamental package for scientific computing with Python