This project is a data analysis submission during the Machine Learning cohort at Bangkit Academy 2024. It includes analysis of bike rental data, covering data cleaning, EDA, and visualization. The visualizations are created using Streamlit. The goal of this project is to understand the patterns within the bike rental data, identify factors that influence rental rates, and present the analysis results in a visual format that is easy to understand, supporting data-driven decision-making.