Bike Demand Analysis in Python | Problem Statement Explanation | Machine Learning Project
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This is the introduction part of the BIKE DEMAND ANALYSIS Project where we provide the details and procedures of the coming project that we will build in Part2 of this Series. This is based on analysis of hourly and daily bike demand in a city as Rented Bike Count where we have divided this count into categories and used them to analyse whether for some given conditions like weather, Holiday, Events and seasons, on a particular day or hour what will be the predicted demand of rented bikes. The result would make us more predictable towards what days showcase higher , lower or moderate demand for bikes.
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