Skip to content

Latest commit

 

History

History
31 lines (18 loc) · 771 Bytes

README.md

File metadata and controls

31 lines (18 loc) · 771 Bytes

Bolt-Analysis

Project Objective

This project seeks to conduct Analysis on data collected from a bolt driver in Nairobi Kenya. The data is from July 2022 to May 2023, approximately one year's work.

This seek to understand trends and insights on an average bolt driver

The project also seeks to conduct a forecast to predict a trend in a drivers earnings over 30 days

This project seeks to develop a Regression model on estimating profit of a driver

Tools Used

Matplot

Seaborn

Numpy

Time series analysis

skitlearn

Findings

  1. The mean price of a ride is ksh 425

  2. Peak hours are from 10am to 3pm with 12noon being the busiest hour

Model Performance

The linear regression model had an rmse of 0.0125

Find the Analysis Notebook in the Repo HERE