Machine Learning

Sales Forecasting Using Walmart dataset

The objective of the project is to build an application that could predict the sales using the Walmart dataset. This application will help in providing us with the data on future sales, and hence we can improve the sales of the company. Walmart is one of the biggest retail services in the world. With 45 stores across the world, the data associated with it is huge in number.

Read more..

Sales Forecasting Using Walmart dataset project Looking to build projects on Machine Learning?:

Machine Learning Kit will be shipped to you and you can learn and build using tutorials. You can start for free today!

1. Machine Learning (Career Building Course)

2. Fraud Detection using Machine Learning

3. Machine Learning using Python

4. Movie Recommendation using ML

5. Handwritten Digits Recognition using ML

6. Machine Learning Training & Internship

7. Brain Tumor Detection using Deep Learning

Requirements of the Project

The dataset can be obtained from any site such as The dataset is usually divided into three parts, which contain train.csv, store.csv, and features.csv. The train.csv contains the historical sales data of the Walmart stores. The store.csv is the place for data comprising the type and size of the various stores located around the world. The additional data which contains information about stores, departments, products, etc. is contained in the features.csv file.

Latest projects on Machine Learning

Want to develop practical skills on Machine Learning? Checkout our latest projects and start learning for free

Project Implementation

The first step should be the merging of data from all the datasets to build a model for the application. All the unnecessary data should also be removed from all the three files during this process. We then have to categorize the data into columns, which can be done through various algorithms and methods. All the coding will be done in python language. The various inputs, such as sales place wise, sales product-wise, sales profit-wise, etc., will take the data and process it.

Here, machine learning is playing a very important role as it studies the various patterns and variations of data. The edit metadata will be very helpful in categorizing the data. The weekly sales will be predicted by using the regression model. If one didn’t get the desired output, then they can also use the boosted regression tree. The boosted regression model works in dimensionality reduction to improve the prediction of sales.

What are the methods used in this project?

There are three methods used in this project by using the algorithms, which are Random forest, gradient boosting, and extra trees. These methods can be used to classify the dataset well and play an important role in the forecasting. The boosted decision tree algorithm processes the data, and it will help to reduce the error also.


The results will be predicted efficiently and accurately if all the parameters are followed well. The benefits of this application are many; as such, it will help to track the sales ups and downs during holidays. The linear regression model can prove helpful as it predicts the sales of a particular area. The companies can track their product popularity and then work in the direction to make it more popular.

How to build Machine Learning projects Did you know

Skyfi Labs helps students learn practical skills by building real-world projects.

You can enrol with friends and receive kits at your doorstep

You can learn from experts, build working projects, showcase skills to the world and grab the best jobs.
Get started today!

Kit required to develop Sales Forecasting Using Walmart dataset:
Technologies you will learn by working on Sales Forecasting Using Walmart dataset:
Sales Forecasting Using Walmart dataset
Skyfi Labs Last Updated: 2021-07-02

Join 250,000+ students from 36+ countries & develop practical skills by building projects

Get kits shipped in 24 hours. Build using online tutorials.

More Project Ideas on Machine-learning

Prediction of compressive strength of concrete by machine learning
Automatic answer evaluation machine
Detection of glaucoma
Detecting Suicidal Tendency using ML
Stock Price Prediction using Machine Learning
Wine Quality Prediction using Linear Regression
Iris Flower Classification using Machine Learning
How to Predict Bigmart Sales with Machine Learning(ML)
Social Media Sentiment Analysis using twitter dataset
Sales Forecasting Using Walmart dataset
Health Care Improvement using Machine Learning
Enron Investigation
Human Activity Recognition
MNIST handwritten digit classification
Moneyball sports analyzer using machine learning
Handwriting reader using Machine Learning
Music Recommendation using Machine Learning
Movie recommendation system based on emotion using python
Vehicle Number Plate detection using Image processing and Machine Learning techniques
Movie success prediction using Data mining
Phishing Site detection using Machine learning
Students Performance Prediction using Machine Learning
Speech Emotion Recognition
Detecting Parkinson's Disease using Machine Learning
Chatbox Machine Learning project
Image Caption Generator
Customer Segmentation
Fraud detection using Machine Learning
AI-based Voice Assistant
Develop A Movie Ticket Pricing System Using Machine Learning
Object detection using Machine Learning
Coronavirus outbreak prediction project using Machine Learning
Breast Cancer Prediction using Machine Learning
House Price Prediction using Machine Learning and Python
Brain Tumour Detection using Deep Learning
Sports predictor using Machine Learning
Handwritten document recognition system using machine learning
Disease Prediction using water quality dataset (ML)
Comment Analysis using NLP
Personality Prediction Project With ML and Python
Design An Online Grocery Recommendation System with ML
Bitcoin Price Prediction using Machine Learning
Road accident analysis using machine learning
Food Image Detection Using CNN and Machine Learning
Loan prediction using machine learning

Subscribe to receive more project ideas

Stay up-to-date and build projects on latest technologies