Seungju Lee(이승주)'s repositories
AI-for-Trading
AI for Trading Nanodegree from Udacity
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Hackerrank
Repository for hackerrank solutions
handson-ml2
핸즈온 머신러닝 2/E의 주피터 노트북
lectures
Oxford Deep NLP 2017 course
Seungju182.github.io
Github blog of Seungju
value_of_loa
Quantifying the necessity of LoA (2021-1 SNU Writing in Science and Technology course project)
multivariate_analysis_project
Project repo for 2021 Fall Multivariate Statistical Analysis course in Seoul National University
pytorch-basic
Repository for basic PyTorch codes
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.