Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
React Native
jQuery
Flutter
Babel
OpenSSL
Composer
Symfony
Raven.js
Scikit-learn React NativeBased on our record, React Native should be more popular than Scikit-learn. It has been mentiond 217 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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
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
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
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
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
Enter React, React Native, and Expo. By unifying our development stack, we streamlined our workflow considerably. Yet, one crucial piece was missing: a comprehensive library for essential tasks like icons and components. As we delved further into our development journey, we realized there were more gaps to fill, including robust boilerplates and other essential necessities. - Source: dev.to / 12 days ago
The best option is probably Flutter right now: https://flutter.dev/ If you don't mind writing the UI native, sharing only business logic code, Kotlin is an option: https://kotlinlang.org/docs/multiplatform.html#kotlin-multiplatform-use-cases Kotlin also can do the UI if you use Compose: https://www.jetbrains.com/lp/compose-multiplatform/ ... however, iOS support is still in alpha, and Web is "experimental". If... - Source: Hacker News / 17 days ago
On my last post I talked about how I recently started learning react native to build an idea I've had for a mobile app, this time around I want to dive a little deeper into react native. - Source: dev.to / 19 days ago
I know, real original 🙄, but I had to as this is my inaugural post on Dev.to! I've been toying with the idea of writing a blog for some time now, and figured since I'm starting a new project, this is the best time for it. I've been somewhat familiar with React.js for a while now and wanted to make the jump over to React Native to capitalize on an idea I've had for a few years. I'll be blogging about the progress... - Source: dev.to / 20 days ago
There was always a tiny sparkle in me telling me that I want to develop mobile apps but I never pursued it. It always felt a bit complicated for me to learn development processes in a completely different industry. I did try developing mobile apps using React Native but it never felt right for me. Also, I already tried to write some Kotlin code and so far I like it, but the whole Android ecosystem is still pretty... - Source: dev.to / about 1 month ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
jQuery - The Write Less, Do More, JavaScript Library.
OpenCV - OpenCV is the world's biggest computer vision library
Flutter - Build beautiful native apps in record time 🚀
NumPy - NumPy is the fundamental package for scientific computing with Python
Babel - Babel is a compiler for writing next generation JavaScript.