Scikit-learn Reviews

Digma.ai Reviews

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 / 17 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

Digma.ai mentions (3)

• Is It Worth Learning Spring Boot in 2023

  If you need an extra shortcut in bootstrapping OpenTelemetry (OTEL) to your spring application or want to integrate all of that important data into your dev process, consider free developer tools such as Digma. Digma is a Continuous Feedback(CF) tool that is meant to streamline the work of collecting and processing data about your code from OTEL observability sources. Digma runs locally as an IDE plugin and... - Source: dev.to / 7 months ago

• Not a Single Trace

  Observability is somewhat resistant to examples, everything I try to come up with feels a bit synthetic and unrealistic when I examine it after the fact. Having said that, I looked at my modified version of the venerable Spring Pet Clinic demo using digma.ai. Running it showed several interesting concepts taken by Digma. - Source: dev.to / 9 months ago

• digma.ai is launching today on PH - provides apm like capabilities in the IDE

  Hi this is Roni and Nir from digma.ai, we are launching Digma on ProductHunt today! Digma is a Continuous Feedback IDE plugin for Java. It automatically collects observability data for your code and analyzes the runtime data for issues. We're super excited to let more developers experiment with Digma and provide their input. We are immensely grateful for any support or feedback from the community during our... Source: 9 months ago