Bike Rental Insights Dashboard

Interactive dashboard tying weather to bike rental trends.

Python

Streamlit

TensorFlow

bike_sharing_analysis_dashboard.webp

Project Description

This dashboard dives into how weather drives bike rentals, breaking down trends by season, day, and conditions.

It uses data analysis to help bike companies optimize fleets and pricing based on forecasts.

Filter by temp, humidity, or time to uncover patterns, with ML models predicting future demand.

Shows peak biking seasons.

Links conditions to rental spikes.

Compares weekdays vs. weekends.

Interactive charts for easy insights.

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