https://github.com/gakas14/fare_prediction_for_yellow_taxi

Design an algorithm that will tell the fare to be charged for a passenger.
https://github.com/gakas14/fare_prediction_for_yellow_taxi

gridsearch linear-regression randomforestregressor regression-analysis svm

Last synced: 8 days ago
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Design an algorithm that will tell the fare to be charged for a passenger.

• Host: GitHub
• URL: https://github.com/gakas14/fare_prediction_for_yellow_taxi
• Owner: gakas14
• Created: 2022-04-14T11:28:20.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-04-15T09:11:55.000Z (over 2 years ago)
• Last Synced: 2023-11-28T06:30:05.064Z (12 months ago)
• Topics: gridsearch, linear-regression, randomforestregressor, regression-analysis, svm
• Language: Jupyter Notebook
• Homepage:
• Size: 16 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Fare_prediction_for_Yellow_Taxi.

DESCRIPTION

Design an algorithm that will tell the fare to be charged for a passenger.

In this project:

We took a Quick Look at the Data Structure, to have a better understanding of the kind of data we are dealing with.

That help us to identifed the output variable, to understand the factor which affect the output variable.

Discover and Visualize the Data to Gain Insights.

Visualizing Geographical Data.

Ckeking for Correlations.

Attribute Combinations.

Data Cleaning (remove the null value)

Perform train test split.

Select and Train a Model.

Better Evaluation Using Cross-Validation.

Fine-Tune the Model with Grid Search.

Evaluate the System on the Test Set