osaleh

AIAlpha

Use unsupervised and supervised learning to predict stocks

metabase

The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

MLOpsPython

MLOps using Azure ML Services and Azure DevOps

mortar-recsys

A customizable recommendation engine for Hadoop and Pig by Mortar Data.

ReccomenderSystem

spark-redshift

Redshift data source for Spark

stockpredictionai

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.