Scikit-learn Reviews

WooCommerce Reviews

1. Beard

   11 months ago
   Not very comfortable.

   My experience with Woocommerce has unfortunately left me feeling that it's an outdated platform. The user interface seems stuck in the past and lacks the intuitive and sleek design that modern platforms offer. Navigating through its features can be cumbersome and time-consuming. Compared to other ecommerce solutions I've used, Woocommerce lacks the ease of use and efficiency that I believe is crucial in today's fast-paced digital world. I find it disappointing and would recommend seeking more updated and user-friendly platforms for your ecommerce needs.

   🏁 Competitors: WiX, WordPress
2. Team Wisdom

   | Small business Owner at SmokeHub | over 1 year ago
   Need to hire a developer to make all the functions work

   WooCommerce provides WordPress-based open-source platform for retailers. It is a WordPress plug-in that you may use to add ecommerce functionality to a website; it is not a standalone website builder though.

   If you utilize this ecommerce website builder, you’ll probably want to collaborate with a developer in order to make all the complicated functions running well.

   🏁 Competitors: QPe, WiX

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 5 days ago

• 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 / about 1 year 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

WooCommerce mentions (0)