Perch helps small businesses keep track of social activity for their own business and competitors. In just minutes a day, busy small business owners and managers stay updated on news, reviews and promotions. Perch is an innovative app that lets small businesses listen to the marketplace simply by checking their phone.
Perch shows posts from Facebook and Twitter, reviews from Yelp and Google+, photos from Instagram, and promotions from Yelp, Foursquare and the major deal sites. Users select the businesses they want to watch, and Perch does the rest.
Perch is available on iOS and Android. The app is free and requires 13MB storage.
Based on our record, Scikit-learn should be more popular than Perch. It has been mentiond 28 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.
If it's being hosted on a server with PHP, check out Perch. https://grabaperch.com/. Source: about 1 year ago
I've also heard good things about ModX and I used to use Perch (but that requires a license per site). Source: about 2 years ago
Https://grabaperch.com might be worth a look. Source: over 2 years ago
I remember seeing someone selling a PHP CMS, and I thought it was interesting since I thought the market was saturated, and everyone was using WordPress for free. But a combination of technical ability and marketing seems to have paid off for the owner. There are likely to be millions of other examples. Source: about 3 years ago
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 / 2 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 / 11 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: 12 months 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
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