Bike Rental Insights Dashboard
Interactive dashboard tying weather to bike rental trends.
Completed
·
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.
Features
Season Trends
Shows peak biking seasons.
Weather Impact
Links conditions to rental spikes.
Day Breakdown
Compares weekdays vs. weekends.
Streamlit UI
Interactive charts for easy insights.
Tech Stack
StreamlitFramework for building data science web applications
TensorFlowOpen-source machine learning framework
PythonVersatile programming language for web development, data science, and automation
0 comments
Sign in to join the conversation. Rest assured, your information is secure. See my privacy policy for more.
No comments yet. Be the first to share your thoughts.