phpListings.com
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phpListings is a powerful business directory website builder software crafted on a pure PHP 8.1 custom framework and uses MySQL/MariaDB for robust data storage. Whether you need business listings, classifieds, jobs, restaurant guides, consumer reviews, event directories, or blogs/articles, phpListings is your ideal choice. With our Custom Listing Types feature, easily integrate multiple listing types within a single installation, each with its set of categories, membership plans, and SEO features. Improve your online presence with phpListings!
The script includes all the tools required to easily monetize your directory listings with automated invoicing, subscription payments, configurable listing membership/pricing plans, and the ability to use any 3rd-party payment processor. Currently, phpListings supports Paypal, Authorize.Net, Stripe and Mollie gateways to collect payments. Your customers receive automated payment requests and listing status update notifications via email.
The built-in layout editor gives you the power to style your directory website easily. The intuitive widget management allows you to organize the block structure of your website pages with an easy-to-use drag-and-drop facility.
So whether you want to build a local restaurant guide with client reviews or a multi-language global manufacturers' business directory with millions of listings, phpListings is your perfect choice.
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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 / 17 days 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 / 4 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 / about 1 year 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
HivePress - HivePress is a free WordPress plugin that allows you to build any type of directory and listing websites. It's incredibly easy to use and highly customizable.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Brilliant Directories - Brilliant Directories offers member management solution to streamline all aspects of membership website or association.
OpenCV - OpenCV is the world's biggest computer vision library
WP Job Manager - Manage job listings from WordPress and allow users to post job listings directly to your site.
NumPy - NumPy is the fundamental package for scientific computing with Python