borisbanushev/predictions borisbanushev/predictions

  • Stars
    star
    61
  • Rank 481,745 (Top 10 %)
  • Language
    Jupyter Notebook
  • Created almost 6 years ago
  • Updated almost 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
borisbanushev/predictions
github

borisbanushev

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

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.
3,920
star
2

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
Jupyter Notebook
235
star
3

TradX

Jupyter Notebook
12
star
4

ReducingMLcostsWithAWS

Jupyter Notebook
8
star
5

AWSGlue-SageMakerDebugger

Demo of using AWS Glue and SageMaker Debugger
Jupyter Notebook
1
star
6

CAPM_Databricks

1
star