Pinned Repositories
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.
osaleh's Repositories
osaleh/AIAlpha
Use unsupervised and supervised learning to predict stocks
osaleh/metabase
The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
osaleh/MLOpsPython
MLOps using Azure ML Services and Azure DevOps
osaleh/mortar-recsys
A customizable recommendation engine for Hadoop and Pig by Mortar Data.
osaleh/ReccomenderSystem
osaleh/spark-redshift
Redshift data source for Spark
osaleh/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.