Keap Reviews

Scikit-learn Reviews

Keap mentions (3)

• Looks Like Active Campaign is Going Through Some Drama

  The competitors like Groundhogg and Keap are going to get some "switchers". Folks looking to stay on a budget, especially in times of economic uncertainty are going to look for good alternatives. Source: over 1 year ago

• What are some of your favorite tools?

  Here's a few: • BuzzSumo - a great tool for getting content insights on any topic (content strategy, influencer marketing, etc.) • ActiveCampaign - CRM, marketing, and e-mail marketing automation for e-com, B2C AND B2B • Keap - simple automation for sales and marketing • Bitrix24 - good CRM for beginners (solid free plan). Source: over 2 years ago

• How to get started with CRM automation (with 3 no-code workflow ideas) 👥

  Keap offers an e-mail marketing and sales platform for small businesses, including products to manage and optimize the customer lifecycle, customer relationship management, marketing automation, lead capture, and e-commerce. The Keap node and Keap Trigger node allow you to manage companies, contacts, contact notes and tags, ecommerce orders and products, emails, and files. - Source: dev.to / almost 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