Pinned Repositories
AlgoApp
Algopay
awesome-python-data-science
Probably the best curated list of data science software in Python.
BadooBot
data-analysis-crypto
Deep_surrogate_PIN_model
lowbeta_cryptocurrency
ProjetCrypto_app
Quantitative-asset-risk-management-course
Startup-classification
GuillaumePv's Repositories
GuillaumePv/Quantitative-asset-risk-management-course
GuillaumePv/Startup-classification
GuillaumePv/AlgoApp
GuillaumePv/Algopay
GuillaumePv/awesome-python-data-science
Probably the best curated list of data science software in Python.
GuillaumePv/BadooBot
GuillaumePv/data-analysis-crypto
GuillaumePv/Deep_surrogate_PIN_model
GuillaumePv/lowbeta_cryptocurrency
GuillaumePv/ProjetCrypto_app
GuillaumePv/BitcoinTicker
GuillaumePv/client_remote_access
GuillaumePv/CorporateFinance-msc1sem-
GuillaumePv/Covid-19
GuillaumePv/DS_1mscF
GuillaumePv/FacebookBusinessBot
GuillaumePv/FlashChat
GuillaumePv/Fuzzymatch
Match data sets on string variables, matching quality is evaluated based on parameters of a training dataset
GuillaumePv/GithubAuto
GuillaumePv/GithubAutomatisation
GuillaumePv/GuillaumePv
GuillaumePv/GuillaumePv.github.io
GuillaumePv/LittleGameMovement
GuillaumePv/option_trading_project
GuillaumePv/pin
GuillaumePv/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.
GuillaumePv/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
GuillaumePv/TinderBot
GuillaumePv/WeatherApp
GuillaumePv/web-app-sentiment-analysis