Elevate VS Scikit-learn

Elevate Reviews

1. Elian

   | I have autism, we can all be different sometimes. at High Horizens Magnet | over 1 year ago
   Best app for brain training ever.

   It makes me smarter in different ways. It boost's my vocabulary, makes me better in math, and helps me with my memory.

   🏁 Competitors: Lumosity

   👍 Pros:    Makes me smart

   👎 Cons:    None so far

Scikit-learn Reviews

Elevate mentions (3)

• Bright student with ADHD starter pack

  /u/Guffikiss_ and /u/cygnusxone_ are correct, it's a brain training app called Elevate.   For me I've made it part of my morning routine, and it help me sort of kickstart my brain, reducing the number of days I'm getting absolutely nothing done as a thanks to executive disfunction. It has a 7-day free trial if you want to try it out. Source: about 1 year ago

• Lithium slowing down my brain

  Sorry for rambling, a suggestion I have is maybe try some phone games that are g seed towards cognitive training? My two favorite games for this aren’t marketed as that, but that’s what they are. I play Flow Free (the one where you connect different colored dots on a grid) and I Love Hue (you have images of color gradients that are split into pieces and you have to put them together like a puzzle). Another one I... Source: over 1 year ago

• Symptom/Daily Tracker

  I highly recommend you look at Duolingo and Elevate. These are 2 companies that have done an amazing job at getting people to build daily habits. Source: about 3 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 / 11 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: about 1 year ago