Precoro VS Scikit-learn

Precoro Reviews

1. Andrii

   | co-founder at Effy | almost 2 years ago
   PRs, POs, invoices, vendor catalog - all in one system

   We can track each purchase order, who created it, and why. They are no longer lost, and we can always see the history. The dashboard allows us to monitor information about all essential documents and at what stage they are now and keep track of which invoices have not yet been paid or partially paid. By setting up budgets for each department, we can effectively plan the allocation and prevent overspending. The system is very flexible and convenient. I can't imagine my work without it.

   🏁 Competitors: Procurify

   👍 Pros:    Reimbursement management|Purchase order management|Supplier management|Financial reporting|Handy dashboard|Ease of use

   👎 Cons:    I'm satisfied with the way precoro handles its task. there are a few things that could be automated. for example, editing multiple pos at once
2. dkulaksyz

   | PM at Stripo Inc | almost 2 years ago
   Easy onboarding and great value for money

   I easily plan budgets for each project, promptly track spending, and create custom reports. Precoro allows doing this in 2 clicks. All suppliers and items are in one place, so purchase requests and orders are quickly created without errors. Precoro is a cloud-based tool, so I can use it from any device as long as I have internet. This greatly speeds up approval time and helps me keep everything under control no matter where I am.

   🏁 Competitors: Procurify

   👍 Pros:    We'll never go back to excel spreadsheets again. one solution meets all our needs and even more. visible approval workflow, budget section for each department, custom reporting fields, and item catalog make purchasing very easily manageable.

   👎 Cons:    Nothing, everything that becomes an issue is easily taken care of by their customer success team.
3. Amy

   | Operations Manager at Expandi | almost 2 years ago
   Very helpful software, easy to use!

   Each employee has access to Precoro at least for purchase requisition creation. This is very convenient because the budgets of each department are visible to their employees. Attachments and comments can be added to the requisitions, and items are added directly from the loaded catalog. All subsequent docs (from purchase order to receipt) are created automatically, significantly saving time. All statuses can be tracked in real-time and are always correct. The approval process is customizable; creating 1 or more stages to comply with the company's rules is possible.

   🏁 Competitors: Procurify

   👍 Pros:    High level of adaptation to the specific processes of each company or department|Customer support team to help set up processes, conduct employee training, and solve all related issues.|Saving time for all employees by automating and speeding up the ordering process|Precise cost analytics for efficient planning and budget management|Improved communication with the finance department

   👎 Cons:    We didn't have the option to add attachments when creating a vendor, but precoro fixed that in the last update.

Scikit-learn Reviews

Precoro mentions (0)

Scikit-learn mentions (28)

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  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

• Link Prediction With node2vec in Physics Collaboration Network

  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 / 11 months ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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

• PSA: You don't need fancy stuff to do good work.

  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

• Help on using R for Machine Learning?

  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: about 1 year ago