Iterate Reviews

1. breakthrough-tom

   | Growth Marketing at Breakthrough | almost 3 years ago
   Quick way to Gather User Information

   I love working with Iterate because it eliminates the need for bulky 50 question user surveys, live in person focus groups (was lovely during covid when this couldn't happen at all), and sifting through Google Analytics data for 'trends' to answer questions.

   We use Iterate because we're constantly testing new features on our site, landing pages with media spend, and messaging tactics. Iterate provides a single script to drop into your source code and then you can create custom branded surveys that keep the user on your site. We've been able to increase conversion rates, launch new products/services and get event/registration hesitation feedback in days/weeks instead of trying to decipher was directional data tells us.

   🏁 Competitors: Survey Monkey, Qualtrics

   👍 Pros:    Easy to track data|Guest satisfaction survey|User friendly interface|Embeddable feedback widget

   👎 Cons:    Can't use survey buttons to create second step on website

Scikit-learn Reviews

Iterate mentions (1)

• User survey feedback api for flutter.

  For example, there is this product , but it does not support flutter. Source: about 3 years ago

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