Pinned Repositories
Basics
EPAT_TIMESERIES
Time series analysis
NeuralNetwork
python-mini-projects
A collection of simple python mini projects to enhance your python skills
recipe
first website
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.
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jesvin1's Repositories
jesvin1/EPAT_TIMESERIES
Time series analysis
jesvin1/Basics
jesvin1/NeuralNetwork
jesvin1/python-mini-projects
A collection of simple python mini projects to enhance your python skills
jesvin1/recipe
first website
jesvin1/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.