Scikit-learn VS Skuuudle

Scikit-learn Reviews

Skuuudle Reviews

1. Chris Burton    

   Head of eCommerce and Marketplace at J Rosenthal & Sons. | about 4 years ago
   Superb Company - Great service and insightful results.

   Skuuudle are a superb company to deal with. Whoever I have dealt with has always taken the time to understand my requirements in great detail. The QC process and all communications from various points of contact within the company are first class in terms of accuracy and guidance. I have used the services of Skuuudle for 6+ years now and would be happy to recommend. Matt Boudin who has been my recent point of contact has continued with excellent advice and customer service. The data provided my Skuuudle services is accurate, on time and incredibly reliable.

   👍 Pros:    Good price|Fast support|Great customer support|Easy to track data

   👎 Cons:    None
2. Daniel Prendergast    

   Director at The Rug Seller | about 4 years ago
   Professional Service

   Really professional and helpful team at Skuuudle. First class service and cost effective.

   👍 Pros:    Professional|Cost effective|Helpful|Knowledgable
3. Steven Woodcock    

   Head of Ecommerce at Maidenhead Aquatics | about 4 years ago
   Great Service

   Great service from Skuuudle, the report is always accurate and the team are really helpful. Great o review products in bulk if infrequent, which is currently what we are using them for.

   🏁 Competitors: Price2Spy

   👍 Pros:    Customer support|Accurate

   👎 Cons:    Dashboard still in development

Scikit-learn mentions (27)

• 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: 12 months 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: 12 months 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

• Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service

  This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago

Skuuudle mentions (1)

• Pricing / competitor analysis

  You can look at tools like Skuuudle and PriceShape if you really want to get into pricing with clients. Source: about 1 year ago