The project involves developing a predictive model using machine learning algorithms to forecast sales for Shree Deepthi. The goal is to leverage historical sales data to predict future sales trends, enabling the company to make informed business decisions. This project will provide learners with an opportunity to apply their classroom knowledge of machine learning and data analysis to a real-world scenario. The project will focus on selecting appropriate algorithms, preprocessing data, and evaluating model performance. The learners will work with a dataset provided by Shree Deepthi, ensuring that the project remains focused and manageable. The project is designed to be completed by a team of learners from a data science or computer science program, ensuring that all participants have the necessary skills to contribute effectively.

The deliverables for this project include a fully functional predictive model capable of forecasting sales with a reasonable degree of accuracy. Additionally, the team will provide a comprehensive report detailing the methodology, data preprocessing steps, model selection, and evaluation metrics. The report will also include visualizations of the results and recommendations for further improvements. A presentation summarizing the project findings and outcomes will be delivered to Shree Deepthi.