-> You are a cab rental start-up company. You have successfully run the pilot project and now want to launch your cab service across the country. You have collected the historical data from your pilot project and now have a requirement to apply analytics for fare prediction. You need to design a system that predicts the fare amount for a cab ride in the city.
-> Here we have a data set with following features, we need to go through each and every variable of it to understand and for better functioning.
-> Size of Dataset Provided: -Rows : 16067, Columns : 7 (includes 1 dependent variable)
-> Missing Values: Yes
-> Outliers Presented: Yes
-> Below mentioned is a list of all the variable names and what they stand for:
Attributes:
• pickup_datetime - timestamp value indicating when the cab ride started.
• pickup_longitude - float for longitude coordinate of where the cab ride started.
• pickup_latitude - float for latitude coordinate of where the cab ride started.
• dropoff_longitude - float for longitude coordinate of where the cab ride ended.
• dropoff_latitude - float for latitude coordinate of where the cab ride ended.
• passenger_count - an integer indicating the number of passengers in the cab ride.
-> For further details please refer the Project Report.docx file.