This project focuses on predicting sales using machine learning algorithms. It involves analyzing historical sales data and building predictive models to forecast future sales. The project aims to help businesses make informed decisions by accurately estimating sales trends and performance.
Key Features: Data preprocessing and feature engineering Exploratory data analysis (EDA) to uncover insights Implementation of machine learning algorithms (e.g., Linear Regression, Decision Trees) Model evaluation and tuning to improve accuracy Visualization of predictions and performance metrics