Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
Datasaur
CloudFactory
Hive
Playment
Labelbox
BasicAI
V7
Heartex
Scikit-learn DatasaurBased on our record, Scikit-learn seems to be a lot more popular than Datasaur. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Datasaur. 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
As a few examples of how much depth we have considered, here's a detailed comparison with sagemaker. Part of an integration with scale. Part of code for labelbox integration, datasaur (scroll to trusted by for our logo) etc. To the best of my knowledge I am trying to track every firm that is in this direct space. Source: about 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
CloudFactory - Human-powered Data Processing for AI and Automation
OpenCV - OpenCV is the world's biggest computer vision library
Hive - Seamless project management and collaboration for your team.
NumPy - NumPy is the fundamental package for scientific computing with Python
Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.
