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We make it easy for you to sell anything online anywhere.
Digital downloads: Sell any type of digital download such as ebooks, software, design assets, templates, video, music and more. If you can save it, you can sell it.
Online courses: Create online courses with rich features such as videos, digital files, quizzes and assignments. Publish drip courses and provide completion certificates.
Coaching: Sell your expertise through 1:1 coaching sessions. Easily set up online meetings with clients using integrations with Zoom, Calendly and more.
Memberships: Allow your customers to pay you on a recurring basis to access your digital downloads or membership group. Manage your members easily.
Physical products: Sell and manage inventory for any physical products. Manage your store, fulfill orders, run promotions and more.
Payhip
Scikit-learnPayhip is recommended for authors, digital content creators, artists, and small businesses who want to sell e-books, software, memberships, courses, or other digital products without the hassle of building a custom e-commerce platform.
Payhip is a solid eCommerce platform having many nice features that can help you jumpstart your online store. Not to forget that it has a perpetual free tier. Also, the free plan is not limited by features!
But, if you want a branded eCommerce store โ Payhip will disappoint you. It does not support custom domains for your shop.
Based on our record, Scikit-learn seems to be more popular. It has been mentiond 40 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.
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago
Gumroad - An all-in-one solution to sell your work and grow your audience.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Sellfy - Sellfy is an easy to use but powerful e-commerce platform where you can sell digital, print on demand or subscription products. Use a Sellfy storefront to create a beautiful online store or embed a Sellfy shopping cart to your own website.
NumPy - NumPy is the fundamental package for scientific computing with Python
WooCommerce - A freely available eCommerce plugin that enables shop facilities on your WordPress website. Functionality enabling extensions & beautiful themes available.
OpenCV - OpenCV is the world's biggest computer vision library