Mochadocs
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Mochadocs is on a mission to provide people in companies and organizations with a solution that simplifies the process of creating, authorizing, signing, and managing all their contracts seamlessly, from creation to expiration. This comprehensive approach not only saves considerable time and money but also organizes all contractual data in a structured manner.
Furthermore, Mochadocs diminish the frustration and annoyance caused by incomplete contracts, difficulties in locating contracts and amendments, as well as the risk of missing crucial end dates. By providing a streamlined Contract Lifecycle Management experience, Mochadocs ensures that all contractual aspects are efficiently handled, offering peace of mind and efficiency to our users.
With our potent, user-friendly, and fully integrated suite of Contract Lifecycle Management features, individuals can effortlessly oversee their pertinent contract components both within and beyond their organization's scope.
Mochadocs Scikit-learnNo features have been listed yet.
Mochadocs's answer
Mochadocs is the first Contract Lifecycle Management solution with a 100% data-driven approach. This means you are able to create flawless contracts. Sign in a timely manner. And have total control on all your contracts.
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
PactSafe - PactSafe offers a contract management application that enables clients to manage, track, implement, and deploy website legal agreements.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ContractWorks - ContractWorks provides secure and easy-to-use contract management software that helps you gain control of your contracts.
OpenCV - OpenCV is the world's biggest computer vision library
Contractbook - Helping businesses scale with future-proof contracts
NumPy - NumPy is the fundamental package for scientific computing with Python
