/PREDICTION-OF-CAB-PRICES-UBER-LYFT-

PREDICTION OF CAB PRICES: Understanding and determining the factors that affect the cab prices, and predicting the costs of the trips based on the factors determined.

MIT LicenseMIT

PREDICTION-OF-CAB-PRICES-UBER-LYFT-

PREDICTION OF CAB PRICES: Understanding and determining the factors that affect the cab prices, and predicting the costs of the trips based on the factors determined.

Problem Statement

Uber and Lyft's ride prices are not constant like public transport. They are greatly affected by the demand and supply of rides at a given time. We would like to understand what drives the demand of the rides and how the prices vary with time and weather conditions. Times around 9 am and 5 pm should see the highest surges on account of people commuting to work/home. Another guess would be the weather; rain/snow should cause more people to take rides.

Objectives

To understand the factors that influence the price of a cab To predict trip prices based on these factors

Data Source

Kaggle: https://www.kaggle.com/ravi72munde/uber-lyft-cab-prices

Data Attributes

  • Distance
  • Cab type
  • Timestamp
  • Destination
  • Source
  • Price estimate
  • Surge multiplier
  • Visible type of the cab
  • Temperature
  • Location
  • Clouds
  • Pressure
  • Timestamp
  • Humidity
  • Wind