machine-learning in Python
Scikit-learn
BigML
Google Cloud TPU
Amazon Forecast
python-recsys
AWS Personalize
Qubole
Mochadocs
PactSafe
ContractWorks
Contractbook
ContractClub
Revitas
Symfact
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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.
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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, machine-learning in Python seems to be more popular. It has been mentiond 7 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.
After that you should probably look at some very basic ML tutorials. I just googled it, I have no idea if this is good https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 1 year ago
Few different approaches based on search engine 'ml with python': Work though use cases / examples : https://www.databricks.com/resources/ebook/big-book-of-machine-learning-use-cases On-line class(es) / step by step projects: * https://bootcamp-sl.discover.online.purdue.edu/ai-machine-learning-certification-course * https://www.w3schools.com/python/python_ml_getting_started.asp *... - Source: Hacker News / over 1 year ago
MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally won’t make you hireable unless you’re doing a PhD and/or are a genius) Plus: 1. https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 2. https://www.coursera.org/learn/machine-learning 3. https://www.3blue1brown.com/topics/neural-networks. Source: about 2 years ago
Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 2 years ago
Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 2 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
PactSafe - PactSafe offers a contract management application that enables clients to manage, track, implement, and deploy website legal agreements.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
ContractWorks - ContractWorks provides secure and easy-to-use contract management software that helps you gain control of your contracts.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
Contractbook - Helping businesses scale with future-proof contracts
