SendGrid Reviews

Scikit-learn Reviews

SendGrid mentions (108)

• Adding ESP to supercharge your Django Email 🚀

  There are many email service providers such as Sendgrid, Brevo, MailGun, Amazon SES etc. - Source: dev.to / 1 day ago

• Namaste Your Way to Wellness: AI-Powered Yoga Recommendations

  Email Follow-Ups To keep you motivated, YogaConnect sends detailed follow-up emails containing your personalized yoga routines and additional wellness tips. Leveraging Twilio's SendGrid, these emails are delivered consistently and reliably to keep you engaged and informed. - Source: dev.to / 8 days ago

• Sending e-mails with Sendgrid

  To send e-mails in a production environment, use services like Sendgrid. - Source: dev.to / 3 months ago

• How to send emails from your website using Twilio SendGrid

  Now we need to install React Hook Form because that is the package we are going to use for building our form. We also need to install the package for SendGrid. Cd into the sendgrid-contact-form folder and then run this command to install the packages:. - Source: dev.to / 4 months ago

• Best email marketing platform for small business?

  We used Sendgrid , but recently moved to LeadGenFusion. Source: 7 months 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 / 14 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