wallmart predction

By Sanjiv V

This project NLP process using machine learning libraries Predicting future sales for a company is one of the most important aspects of strategic planning. And Walmart is the best example.

Predicting future is an important aspect of the wallmart project it therefore empahsis on the prediction of the sales goods tha are concern with the sales forecasting of goods for sales purpose. we would easily like to predic the product sale.these libraries are used and mostlycaptured by everybody.we can get 22 graphs by genrating diffrent graphs by usng various machine learnig algothims.

##import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import seaborn as sns; sns.set(style="ticks", color_codes=True)
from sklearn.model_selection import train_test_split
from sklearn.ensemble import ExtraTreesRegressor, RandomForestRegressor
from sklearn.neighbors import KNeighborsRegressor
from sklearn.svm import SVR
from sklearn.feature_selection import RFE
from sklearn.neural_network import MLPRegressor
from sklearn.metrics import mean_absolute_error
from sklearn.model_selection import KFold
import matplotlib.pyplot as plt##