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GitHub / nitin6753 / Fare_Prediction_NYC-TLC

NYC TLC wants to predict the fare prices of the taxicab before ride. A multiple linear regression model is built based on features like ride distance, duration, no. of passengers, Vendor ID, and ride location.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nitin6753%2FFare_Prediction_NYC-TLC
PURL: pkg:github/nitin6753/Fare_Prediction_NYC-TLC

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 5.03 MB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 12 months ago

Topics: a-b-testing, exploratory-data-analysis, feature-engineering, general-linear-model, hypothesis-testing, machine-learning, multiple-linear-regression, statistical-inference

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