Boris Banushev's repositories
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.
anomaliesinoptions
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
AWSGlue-SageMakerDebugger
Demo of using AWS Glue and SageMaker Debugger
AIMLCICDonAWS
End to end CI/CD pipeline for AI/ML workloads built only using native AWS services.
dbdemos-dataset
dataset used by dbdemos
e2e-mlops
Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template