Myntra E-Commerce Sales Data Analytics Final Year Project Source Code

Myntra E-Commerce Sales Data Analytics is a Python-based final year project developed for analyzing synthetic Myntra-style order data for the financial year 2025–26. This major project loads e-commerce sales data from CSV, cleans and prepares order records, performs exploratory data analysis, generates 12 comparative visualization charts, and trains machine learning models for revenue prediction and product category classification. The project analyzes order patterns, monthly revenue trends, revenue by category, top brands, gender distribution, payment modes, state-wise revenue, customer age distribution, discount trends, correlation patterns, product revenue spread, product-type comparison, and MRP vs revenue relationship. It also uses Random Forest Regressor to predict order-line revenue and Random Forest Classifier to predict product category. This Myntra sales data analytics source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python, data analytics, EDA, visualization, and machine learning.