Scikit-learn Reviews

Upvoty Reviews

1. Zoe Dillian

   | Product at Fastned | almost 3 years ago
   Switched to Upvoty

   Easily migrated from another tool, our team and users are loving Upvoty thus far, now 5 months in.

   🏁 Competitors: Canny, Nolt, hellonext.co

   👍 Pros:    Easy to use|Usability|User-friendly|Great customer support|Fast support|Easy to setup|Easy implementation

   👎 Cons:    Mobile app
2. Bobby

   | owner at Bobstores | over 4 years ago
   Nice tool, quick response

   We use upvoty for a few months now, every month they add some new cool features. They listen to their customers very carfully. They should be, otherwise their tool does not work :-D

3. Robin van Delft

   | Founder at van Delft HQ | over 4 years ago
   Collecting customer feedbacks never been easier.

   I have been waiting a long time for a beautiful and easy to use feedback tool - Upvoty is it. Upvoty also nails all the little things.

   This tool really helps our customers provide feedback and priorities to our Product, and Development teams. We were able to implement this directly into our app which creates a seamless experience for our users.

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 / 22 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 / 4 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

Upvoty mentions (1)

• $20,000 MRR bootstrapped - Here's how we did it

  💬 User feedback: From the very start, we listened really carefully to the feedback of our users (of course by using our own product - upvoty.com). This resulted in us building a product that was valuable and people actually wanted to pay for it. Source: over 2 years ago