Cushion Reviews

Scikit-learn Reviews

Cushion mentions (6)

• software for planning upcoming months work

  I used Cushion for this and I can’t recommend it enough. It does exactly what you’re describing without the need to build out a system in another project management software and it’s designed for freelancers out of the box. It also has built in invoicing and income projections for the year which I found indispensable for just…making sure I made enough money. It does cost money (I want to say $119 a year?) but for... Source: about 1 year ago

• Insecure about finances

  Have you tried a service like https://cushionapp.com/? Source: about 1 year ago

• What type of Shortcuts do you actually use?

  I have created several shortcuts for logging time and creating timers for my time tracker of choice, Cushion. Source: about 2 years ago

• Every motherhecking productivity / business app is for teams!!! What’s a great great calendar / work scheduling app for freelancers?

  Cushionapp.com has great timelines and charts. Source: over 2 years ago

• Looking for a great work management platform/app for my tiny creative agency. (Like Harvest, Cushion, etc)

  I’ve previously tried Harvest and found that it was just quite heavily geared towards teams (whereas I’m just one person). I’ve also tried Cushion (cushionapp.com), which does seem great and do most of what I want, but doesn’t integrate with Xero (thought it says it does - the integration doesn’t work). Source: over 2 years ago

Scikit-learn mentions (28)

• 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 / 3 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 / 12 months 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

• Help on using R for Machine Learning?

  Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago