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predicting_sales's Introduction

Predicting_sales

A group project on analyzing data to predict sales page source: https://www.kaggle.com/c/competitive-data-science-predict-future-sales/data

tables

contient les ventes de chaque mois ( du mois 0 à mois 33)--- indéxé

month_sales

pour avoir une vision, ces tables là, donne le nombre de ventes totale pour chaque "Item" à chaque mois "i" (0à 33 aussi)

Premier Pas - dividem.py

le code python pour diviser le fichier "sales_train_v2.csv" à plusieurs tables correspondants à chaque mois (les fichiers du dossier table)

Deuxieme pas- salesmonth.py

le code python pour créer les tables de ventes de produit pour chaque mois

3em pas- FullData.py

ce fichier permet d'utiliser les tableaux des ventes pour chaque produit(les tableau de month_sales ) de chaque mois et les regrouper dans un seul fichier

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