channhan007's Projects
Config files for my GitHub profile.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Data science interview questions and answers
tutorial for MLSS2019
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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.