/Cab-Fare-Prediction

This is a prediction machine learning model. In this project, my objective was to predict the fare of a cab based on time and daytime variance. I applied data cleaning, calculating the distance between the source and the destination. I implemented some ML regression algorithms and tested the score of the model

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Cab Fare Prediction - Regression

This is a prediction machine learning model. In this project, my objective was to predict the fare of a cab based on time and daytime variance. I applied data cleaning, calculating the distance between the source and the destination. I implemented some ML regression algorithms and tested the score of the model

Steps:

  • Import Libraries and read data set
  • Describe the dataset
  • Handling Missing Values
  • Data Transforamtion / Categorical to Numerical
  • Data Cleaning and Feature Selection
  • Split the dataset into train and test set
  • Machine Learning Modeling
  • train the model (Fit)
  • Test the trained model (prediction )
  • Model Evaluation