Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
Appian
Camunda
Kintone
Scoop Solar
Bizagi
K2
Intellect
ThinkSmart
Scikit-learn AppianBased on our record, Scikit-learn should be more popular than Appian. 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
Does any of you use a low-code tool like Retool or Appian? If so, what is the most common use case? Source: over 1 year ago
Look for use case inspiration in the Solutions area of appian.com and within the AppMarket. See if you can build proof of concepts of some of these. Source: over 1 year ago
There are low code database driven website creation systems out there at the moment e.g. OutSystems and Appian however they have very limited free trials (e.g. auto-disable after a few days of no use), and then the paid options are again too expensive. Although I will note that they seem to be great in terms of their usability and would be perfect for creating a simple interface without too much diving into code. Source: almost 2 years ago
My concern however is - the working software isn't a generic language such as Java, C#/C++, Python etc. - it is with Appian (Business Process Management), which is a rather specific low-code platform for developing workflow and automation solutions. The role does have other elements potentially too such as getting hands on cloud and API dev etc. The pay for Appian Developers currently is GREAT due to high demand -... Source: about 2 years ago
Platforms like UiPath, Workato, and Appian provide ways to integrate apps and automate the processes that connect and flow between them. - Source: dev.to / almost 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.
Camunda - The Universal Process Orchestrator
OpenCV - OpenCV is the world's biggest computer vision library
Kintone - Build business apps and supercharge your company's productivity with kintone's all-in-one...
NumPy - NumPy is the fundamental package for scientific computing with Python
Scoop Solar - Scoop Solar is a comprehensive mobile business process management tool for growing solar companies.
