Course Project Forecasting Walmart Sales
Forecasting Walmart Sales
In this project I will use data from the Kaggle competition: Walmart Recruiting - Store Sales Forecasting. The goal of this project is to build an useful machine learning model that can predict sales with resonable accuracy based on historic sales data. This individual project is part of the requirements of the Machine Learning with Python: Zero to GBMs course, a free, online certification course, hosted on Jovian.
1 - Downloading and importing the necessary modules and the dataset
!pip install opendatasets jovian numpy pandas matplotlib seaborn scikit-learn pyarrow xgboost
import os import opendatasets as od import jovian import numpy as np import pandas as pd import matplotlib import matplotlib.pyplot as plt import seaborn as sns import joblib from sklearn.impute import SimpleImputer from sklearn.preprocessing import MinMaxScaler from sklearn.preprocessing import OneHotEncoder from sklearn.ensemble import RandomForestRegressor from xgboost import XGBRegressor %matplotlib inline matplotlib.rcParams['font.size'] = 14 sns.set_style('whitegrid')