Washington DC Bike Rental
Regression Prediction Model
Project Description
In this Notebook we explore and use Washington DC historic bike rental data to predict and forecast the total count/demand of bikes rented during each hour.
Focus points
- EDA - Explore Dataset, clean and prepare for modeling.
- Forcast future rentals based on various conditions.
- Visualization Plots.
Visualization Plots
![](images/B1.png)
![](images/B2.png)
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- Design: HTML5 UP