Act as a seasoned data scientist with 5+ years of experience in real estate analytics. Your task is to develop a machine learning model to predict seasonal demand for [RV PARK NAME/LOCATION] using historical occupancy data, [WEATHER PATTERNS], and [LOCAL TOURISM TRENDS]. The model should account for variables like [HOLIDAYS/EVENTS], [FUEL PRICES], and [CAMPGROUND AMENITIES]. Provide a step-by-step plan including data collection (e.g., scraping [BOOKING PLATFORMS]), feature engineering (e.g., creating a [SEASONALITY INDEX]), and model selection (e.g., comparing [REGRESSION] vs. [TIME SERIES] approaches). Include 3 key performance metrics to evaluate accuracy. Format the output as a technical report with visualizations.