您最多选择25个主题 主题必须以字母或数字开头,可以包含连字符 (-),并且长度不得超过35个字符
Doriand Petit a2084c0a26 moved readme 4 年前
..
Snake1a Added several models and cleaned figures 4 年前
Snake10a Added several models and cleaned figures 4 年前
Snake20a Added several models and cleaned figures 4 年前
Snake30a Added several models and cleaned figures 4 年前
Snake50a Added several models and cleaned figures 4 年前
Snake100a Added several models and cleaned figures 4 年前
30aplot1.png Added several models and cleaned figures 4 年前
30aplot2.png Added several models and cleaned figures 4 年前
README.md moved readme 4 年前
WILL5000INDFC.csv Added several models and cleaned figures 4 年前
a_plot.png Added several models and cleaned figures 4 年前
nn.py Added instals commands on readme 4 年前
notebook_wilshire.ipynb Added instals commands on readme 4 年前
wilshire.py Added notebook 4 年前

README.md

wilshire_5000

Prédiction des données financières à partir de l’index Wilshire5000

Classical Installations Required : numpy, pandas, tensorflow and matplotlib (and warnings)

Other Installation : statsmodels for ARIMA predictions (pip install statsmodels)

Le notebook est une démo du fonctionnement des fonctions. Le fichier wilshire.py s’occupe du pré-processing des données et parsing. Le fichier nn.py s’occupe de la partie DeepLearning, ainsi que les prédictions ARIMA et finalement plot les fonctions.

Données

Données