This is aboute stock price prediction.
GUI was made on Django frame work. For the remote data, yahoo's finance api is used with pandas_datareader. Mainly its predict, corelation of 2 stock price.
Correlation is mean of, same lenght arrays will be increase or decrease in same time split. For the Correlation function numpy's corrcoef is used.
For the normalization and pre proccesing, sklearn.preproccesing's MinMaxScaler is used. For the prediction, i used Keras. For the visualization of the prediction, Matplotlib.
For the video instruction: https://www.youtube.com/watch?v=gRMV525s6s8 (Turkish)