In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
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Analysis of Bot Protection systems with available countermeasures 🚿. How to defeat anti-bot system 👻 and get around browser fingerprinting scripts 🕵️♂️ when scraping the web?
Beyond the basics of Node.js testing. Including a super-comprehensive best practices list and an example app (April 2025)
:closed_lock_with_key: Learn how to use JSON Web Token (JWT) to secure your next Web App! (Tutorial/Example with Tests!!)
Example Project & Guide for mastering Promises in Node/JavaScript. Feat. proposed 'Functional River' pattern
- nodejs
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