This project is about Data Analysis Of Online Shoppers Engagement and Purchase Prediction

This project is about Data Analysis of Online Shoppers Engaegement and Purchase prediction

This project presents an innovative Size Estimator and Virtual Try-On system. Leveraging cutting-edge AI and ML techniques, the aim is to empower shoppers to make informed decisions about fit and style effortlessly.

Machine Learning Project to Predict Online Shoppers Purchasing Intention

Discover ML projects with Scala & Python. Explore data analysis, MLflow integration, regression, decision tree classification, Spark DataFrame manipulation, flight & retail sales analysis, and statistical utilities. Includes datasets like forestfires and online shoppers intention for practical learning.

This project segments customers based on their purchasing behavior using Recency, Frequency, and Monetary (RFM) metrics. Leveraging KMeans Clustering, it helps identify key customer groups such as high-value loyal buyers, at-risk customers, and occasional shoppers.

This project is a comprehensive e-commerce platform designed to enhance the online shopping experience. It offers a seamless, user-friendly interface with advanced features for both shoppers and vendors, ensuring a convenient and efficient marketplace for all.

This project demonstrates the implementation of Django framework to develop a web application. The web application developed here is an E-commerce website which is named Shop-Easy. The website was developed with the help of HTML,Bootstrap,CSS,javascript for the front end and Django's framework provided a base to develop the backend using python. All the data used by the website is taken from a SQL-Database connected through Django. This project shows Django's object relational mapping feature while creating tables to hold data. On the whole, the website fetches and retrieves data between the database and the web page to make an effective E-commerce website for shoppers.

Personal Project To Increase Efficiency For Everyday Shoppers

Online Shoppers Purchasing Intention Dataset Machine Learning Project

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This is an example project based on a Payment Gateway API that can act as an API for merchants to offer a way for shoppers to pay for a product.

Our Django project will help you create an online store. Through this project, users will become online shoppers and will be able to choose products, buy and place orders.

This project analyzes household transactions from 2,500 frequent shoppers over two years, including demographics and marketing history. It features a Streamlit dashboard with pages for Data exploration, demographic insights, product data, and sales data. It also has a notebook for data management and processing.

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A vibrant eCommerce platform offering a curated selection of lifestyle products. Explore our collection for quality goods that elevate your everyday experience. From fashion and home decor to tech accessories, discover the perfect blend of style and functionality. Shop confidently for a lifestyle that reflects your unique taste and passion.

Data Analytics projects on online shoppers

Connects personal shopper with shopper in one app (Swift language)

Contains functional test cases for ShopperStack web application — Admin and Shopper modules tested manually.

Java GUI Project created with Java Swing for EECS3311 - Software Design.

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Classifying Online Shoppers Intentions (Revenue vs No Revenue) - Metis Project 3

Final Project for CIS 3990 Human Computer Interaction. An iOS app that helps grocery shoppers create lists conveniently

The Purchasing Intention Prediction Project is a research project that aims to predict the purchasing intention of online shoppers in real-time.

Python project aiming at creating a machine learning model to predict online shoppers intention, as well as an Django API.

capstone project - predicting online shoppers intention to buy. model will predict whether a session will end up in purchase or not.

One of my first JS projects, from 2010: A drag-and-drop interface for shoppers to add products to their "Love List" (similar to a wish list)

Taztech - Ecommerce website is a clone website to help shoppers do their online shopping. This project has assisted me gain hands-on skills on HTML,CSS and javascript.

Welcome to the "MagnificentWebsite-Project," a virtual paradise for perfume enthusiasts and shoppers alike. This project aims to offer a delightful online shopping experience, catering to the fragrance aficionados who appreciate the art of perfumery.

This project is a **minimal backend for a car marketplace**. Shoppers can: - Browse cars quickly ('Fast Browse API') - Filter, sort, paginate, and view facets (make/year counts) - Submit leads on cars they like