Project information
- Project:Uber Price Prediction Using Multiple Factors
- Project date: 22 Suptember, 2020
- Project URL: View
About Project
Machine Learning model helps a customer in identifying the fare valid for the trip. This is often used by passengers or tourists who are new in a city to get an estimate of travel costs. We are provided with a dataset having features like fare amount, pickup, drop location, key, passenger count and so on. Which helps to understand the type of dataset, cleaning and verifying, if there are any biases in our dataset or not. We have performed the train test split and applied different machine learning models.