Amazing Marvin Reviews

1. Keith

   almost 3 years ago
   Extremely powerful todo list manager

   I used Remember the Milk for years, but they were slow to fix bugs and new features hardly ever appeared. Marvin is, as the name says, Amazing. Very powerful 'smart' lists of tasks, searching, customisation. It does take a while to get to grips with the huge range of features.

   🏁 Competitors: Remember The Milk

Scikit-learn Reviews

Amazing Marvin mentions (29)

• Struggling with life, infp struggle the most? Please help?

  Again there are many great free ones out there, but my personal recommendation is definitely this one. It is paid, but the cost is not far off a pint of beer these days and you can customise it however you want (you could think of it as an investment in terms of the value it brings into your life vs the cost). Source: about 1 year ago

• How do you get over the hurdle of desperately wanting to start using a task manager but feel totally overwhelmed and panicked about trying to remember and input all the many things that should go into it, not to mention deciding which one? (AuDHD)

  I have recently realized that there will be no perfect tool you will find just by looking things up. You literally do have to try around w a few apps (or more traditional methods) and see which one you enjoy. It took me a while but I found smth called Amazing Marvin. I love it because it’s very customizable. I think when we try to look for the “perfect” tool, we really are looking for tons of customizability so we... Source: about 1 year ago

• My workspace. Not pictured: walking treadmill that I slide out from under my bed while monitors and keyboard are in standing mode.

  Amazing Marvin: https://amazingmarvin.com/. I love it. Super steep learning curve, but once you get it, it's so smooth. Source: over 1 year ago

• How do you track goals and projects?

  I'm a big fan of Amazing Marvin]. Goals, projects, tasks, habits and a lot more. Extremely powerful smart lists. It's an excellent app, but it does have a learning curve. Source: over 1 year ago

• [request] To-do app w click-drag of cards in 2x2 or 3x3 matrix?

  Https://amazingmarvin.com/ has a matrix feature. Source: over 1 year 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 / 16 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