Learn Data Science using Python

Another post starts with you beautiful people! Hope you have enjoyed my last post about  kaggle submission   and you also tried to build your own machine learning model. To continue the same spirit today I will discuss about my model submission for the  Wallmart Sales Forecasting   where I got a score of 3077 (rank will be 196) in kaggle. Challenge : In this challenge, we are provided with historical sales data for 45 Walmart stores located in different regions since 2010-02-05 to 2012-11-01. Each store contains a number of departments, and we are tasked with predicting the department-wide sales for each store. My Sollution : To solve this machine learning regression problem I followed below steps- 1) load the datasets .  While loading the datasets, I ensured that required attributes only should be there in train and feature datasets. The important key feature which affects the sales of a store mostly is 'markdown' because this feature cont...