I have a set of sales data and need a predictive analysis that helps me understand future revenue trends and the key drivers behind them. Please work exclusively in Python, leveraging libraries such as Pandas for data wrangling and Scikit-learn for modelling. Here’s what I need from you: • A clean, well-documented notebook or script that imports, cleans, and structures the raw sales data. • One or more predictive models (regression, time-series, or classification—whichever best fits the dataset) with clear performance metrics. • A concise written summary explaining model choice, key findings, and actionable insights for the business team. • All source files so I can reproduce the results on my side. Accuracy, readable code, and clear business-oriented insights are essential. If you have experience turning sales datasets into accurate forecasts, I look forward to seeing how you’d approach this task.