Seoul Bike Rental Analysis

Seoul Bike Rental Analysis

EDA and Random Forest Regressor Model applied on the dataset containing information about Seoul Bike Rental Services and its different attributes.

Features:

• Data Cleaning:The project meticulously details the steps taken to clean and preprocess the provided data. This ensures a robust and reliable foundation for subsequent analyses.
• Basic Analysis using Pandas and Matplotlib:Leveraging the power of pandas dataframes, we perform straightforward yet insightful analyses. Matplotlib aids in visually representing key trends and patterns, making the exploration accessible and engaging.
• Random Forest Regressor:To predict the values to rent a bike in Seoul.