EHS Insight
Safety Culture
EtQ Reliance
flowdit
AuditBoard
Forms On Fire
Lumiform App
SAI360
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
EHS Insight is the best value in EHS Software available today. With a fresh, user-friendly interface and everything you need to automate and improve your EHS Management System, it will be the must-have application of the year. Don't settle for outdated software or one of those little 'forms' tools. Get a comprehensive solution that includes every feature you can't live without. Trust the industry leader: first with offline access, first with a full-suite mobile application, and first in the cloud.
EHS Insight Scikit-learnNo EHS Insight videos yet. You could help us improve this page by suggesting one.
Based on our record, Scikit-learn seems to be more popular. 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 / 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
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
Safety Culture - SafetyCulture is the operational heartbeat of working teams around the world. Its mobile-first operations platform leverages the power of human observation to identify issues and opportunities for businesses to improve everyday.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
EtQ Reliance - QMS integrates data to reduce risk and ensure compliance.
OpenCV - OpenCV is the world's biggest computer vision library
flowdit - Experience seamless audits and compliance with flowdit, the ultimate mobile-friendly operations and inspection software. Full-featured, easy to use. Try it for free today!
NumPy - NumPy is the fundamental package for scientific computing with Python