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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.

A free cartoon browser game about how the internet really works: lay fiber and subsea cables, peer at IXPs, bill on the 95th percentile and survive backhoes, sharks and route leaks on your way to Tier 1.

  • bgp
  • browser-gam
  • educational
  • game

Repo to accompany the series "Build A Pet Management System With Remix, Prisma, and Postgres" https://www.youtube.com/watch?v=wqyHGQlZcws&list=PLTnRtjQN5ieYu9SdwLvzKYFVtfqySY7FT

mongodb-aggregate-adventure will run through a series of MongoDB aggregation workshops. Starting at a basic aggregation tasks and moving on to more advanced exercises about dealing with aggregation using MongoDB.